Overview

Dataset statistics

Number of variables165
Number of observations6035
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory7.6 MiB
Average record size in memory1.3 KiB

Variable types

Categorical165

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
Symptom_Cognitive_Functioning_thinking is highly overall correlated with Symptom_Cognitive_Functioning_problemsolving and 1 other fieldsHigh correlation
Symptom_Cognitive_Functioning_executive is highly overall correlated with Symptom_Cognitive_Functioning_problemsolvingHigh correlation
Symptom_Cognitive_Functioning_problemsolving is highly overall correlated with Symptom_Cognitive_Functioning_thinking and 1 other fieldsHigh correlation
Symptom_Cognitive_Functioning_attentionconcentration is highly overall correlated with Symptom_Cognitive_Functioning_thinkingHigh correlation
Symptom_Speech_difficulty_finding_words is highly overall correlated with Symptom_Speech_difficulty_communicating_verbally and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_communicating_verbally is highly overall correlated with Symptom_Speech_difficulty_finding_words and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_reading_processing_text is highly overall correlated with Symptom_Speech_difficulty_finding_words and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_understanding_others_speech is highly overall correlated with Symptom_Speech_difficulty_finding_words and 2 other fieldsHigh correlation
Symptom_Speech_difficulty_speaking_complete_sentences is highly overall correlated with Symptom_Speech_difficulty_finding_words and 1 other fieldsHigh correlation
Symptom_Speech_difficulty_communicating_writing is highly overall correlated with Symptom_Speech_difficulty_reading_processing_textHigh correlation
Symptom_Loss_of_smell is highly overall correlated with Symptom_Loss_of_tasteHigh correlation
Symptom_Loss_of_taste is highly overall correlated with Symptom_Loss_of_smellHigh correlation
Symptom_Altered_taste is highly overall correlated with Symptom_Altered_smellHigh correlation
Symptom_Altered_smell is highly overall correlated with Symptom_Altered_tasteHigh correlation
Symptom_Insomnia is highly overall correlated with Symptom_Difficulty_falling_asleep and 1 other fieldsHigh correlation
Symptom_Difficulty_falling_asleep is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Waking_up_in_night is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Temp_lability is highly overall correlated with Symptom_Elevated_tempHigh correlation
Symptom_Elevated_temp is highly overall correlated with Symptom_Temp_labilityHigh correlation
Symptom_Eye_vision_symptoms is highly overall correlated with Symptom_Eye_Vision_blurred_visionHigh correlation
Symptom_Reproductive_all_menstrual_issues is highly overall correlated with Symptom_Reproductive_abnormally_irregular_periodsHigh correlation
Symptom_New_allergies is highly overall correlated with Symptom_SkinAllergy_new_allergiesHigh correlation
Symptom_Depersonalization is highly overall correlated with Symptom_DerealizationHigh correlation
Symptom_Derealization is highly overall correlated with Symptom_DepersonalizationHigh correlation
Symptom_Eye_Vision_blurred_vision is highly overall correlated with Symptom_Eye_vision_symptomsHigh correlation
Symptom_Reproductive_abnormally_irregular_periods is highly overall correlated with Symptom_Reproductive_all_menstrual_issuesHigh correlation
Symptom_SkinAllergy_new_allergies is highly overall correlated with Symptom_New_allergiesHigh correlation
Symptom_Memory_short is highly imbalanced (61.3%)Imbalance
Symptom_Memory_no_new_memories is highly imbalanced (57.2%)Imbalance
Symptom_Cognitive_Functioning_agnosia is highly imbalanced (50.6%)Imbalance
Symptom_Cognitive_Functioning_other is highly imbalanced (57.4%)Imbalance
Symptom_Speech_speaking_unrecognizable_words is highly imbalanced (54.8%)Imbalance
Symptom_Speech_changes_to_secondary_languages is highly imbalanced (69.0%)Imbalance
Symptom_Speech_other is highly imbalanced (74.4%)Imbalance
Symptom_Phantom_taste is highly imbalanced (53.4%)Imbalance
Symptom_Heightened_smell is highly imbalanced (59.0%)Imbalance
Symptom_Heightened_taste is highly imbalanced (80.2%)Imbalance
Symptom_Hallucinations_visual is highly imbalanced (52.1%)Imbalance
Symptom_Hallucinations_auditory is highly imbalanced (63.0%)Imbalance
Symptom_Hallucinations_tactile is highly imbalanced (78.8%)Imbalance
Symptom_Hallucinations_other is highly imbalanced (84.0%)Imbalance
Symptom_Sensations_facial_pressure_left is highly imbalanced (60.1%)Imbalance
Symptom_Sensations_facial_pressure_right is highly imbalanced (64.2%)Imbalance
Symptom_Sensations_facial_pressure_other is highly imbalanced (67.2%)Imbalance
Symptom_Sensations_facial_paralysis is highly imbalanced (79.6%)Imbalance
Symptom_New_anaphylaxis is highly imbalanced (74.4%)Imbalance
Symptom_Coughing_up_blood is highly imbalanced (72.3%)Imbalance
Symptom_Respiratory_other is highly imbalanced (57.7%)Imbalance
Symptom_Hearing_loss is highly imbalanced (54.1%)Imbalance
Symptom_Dermatographia is highly imbalanced (59.7%)Imbalance
Symptom_New_allergies is highly imbalanced (56.5%)Imbalance
Symptom_Skin_Allergy_other is highly imbalanced (54.8%)Imbalance
Symptom_Inability_to_yawn is highly imbalanced (69.7%)Imbalance
Symptom_Ear_numbness is highly imbalanced (71.6%)Imbalance
Symptom_Eye_Vision_double_vision is highly imbalanced (59.9%)Imbalance
Symptom_Eye_Vision_tunnel_vision is highly imbalanced (76.6%)Imbalance
Symptom_Eye_Vision_loss_of_vision is highly imbalanced (91.2%)Imbalance
Symptom_Eye_Vision_redness_outside_eye is highly imbalanced (58.7%)Imbalance
Symptom_Reproductive_early_menopause is highly imbalanced (89.4%)Imbalance
Symptom_Reproductive_abnormally_heavy_periods_clotting is highly imbalanced (54.6%)Imbalance
Symptom_Reproductive_testicle_penis_pain_changes is highly imbalanced (77.4%)Imbalance
Symptom_Reproductive_postmenopausal_bleeding is highly imbalanced (88.1%)Imbalance
Symptom_Reproductive_other_menstrual_issues is highly imbalanced (56.4%)Imbalance
Symptom_SkinAllergy_brittle_nail is highly imbalanced (50.2%)Imbalance
Symptom_SkinAllergy_new_allergies is highly imbalanced (54.3%)Imbalance
Symptom_SkinAllergy_other_itchy is highly imbalanced (68.3%)Imbalance
Symptom_SkinAllergy_shingles is highly imbalanced (82.8%)Imbalance
Symptom_Fatigue is highly imbalanced (85.6%)Imbalance

Reproduction

Analysis started2023-09-11 09:59:35.842627
Analysis finished2023-09-11 10:00:01.727204
Duration25.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Symptom_Memory_short
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
5578 
0.0
 
457

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5578
92.4%
0.0 457
 
7.6%

Length

2023-09-11T11:00:01.764760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:01.816311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5578
92.4%
0.0 457
 
7.6%

Most occurring characters

ValueCountFrequency (%)
0 6492
35.9%
. 6035
33.3%
1 5578
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6492
53.8%
1 5578
46.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6492
35.9%
. 6035
33.3%
1 5578
30.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6492
35.9%
. 6035
33.3%
1 5578
30.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3529 
1.0
2506 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3529
58.5%
1.0 2506
41.5%

Length

2023-09-11T11:00:01.861562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:01.903170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3529
58.5%
1.0 2506
41.5%

Most occurring characters

ValueCountFrequency (%)
0 9564
52.8%
. 6035
33.3%
1 2506
 
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9564
79.2%
1 2506
 
20.8%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9564
52.8%
. 6035
33.3%
1 2506
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9564
52.8%
. 6035
33.3%
1 2506
 
13.8%

Symptom_Memory_no_new_memories
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5507 
1.0
 
528

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5507
91.3%
1.0 528
 
8.7%

Length

2023-09-11T11:00:01.946953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:01.987812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5507
91.3%
1.0 528
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0 11542
63.8%
. 6035
33.3%
1 528
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11542
95.6%
1 528
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11542
63.8%
. 6035
33.3%
1 528
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11542
63.8%
. 6035
33.3%
1 528
 
2.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5203 
1.0
832 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5203
86.2%
1.0 832
 
13.8%

Length

2023-09-11T11:00:02.032165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.072356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5203
86.2%
1.0 832
 
13.8%

Most occurring characters

ValueCountFrequency (%)
0 11238
62.1%
. 6035
33.3%
1 832
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11238
93.1%
1 832
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11238
62.1%
. 6035
33.3%
1 832
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11238
62.1%
. 6035
33.3%
1 832
 
4.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5310 
1.0
725 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5310
88.0%
1.0 725
 
12.0%

Length

2023-09-11T11:00:02.116106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.156590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5310
88.0%
1.0 725
 
12.0%

Most occurring characters

ValueCountFrequency (%)
0 11345
62.7%
. 6035
33.3%
1 725
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11345
94.0%
1 725
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11345
62.7%
. 6035
33.3%
1 725
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11345
62.7%
. 6035
33.3%
1 725
 
4.0%

Symptom_Cognitive_Functioning_thinking
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
4020 
0.0
2015 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 4020
66.6%
0.0 2015
33.4%

Length

2023-09-11T11:00:02.201209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.241535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4020
66.6%
0.0 2015
33.4%

Most occurring characters

ValueCountFrequency (%)
0 8050
44.5%
. 6035
33.3%
1 4020
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8050
66.7%
1 4020
33.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8050
44.5%
. 6035
33.3%
1 4020
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8050
44.5%
. 6035
33.3%
1 4020
22.2%

Symptom_Cognitive_Functioning_executive
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
3552 
0.0
2483 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3552
58.9%
0.0 2483
41.1%

Length

2023-09-11T11:00:02.285738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.325617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3552
58.9%
0.0 2483
41.1%

Most occurring characters

ValueCountFrequency (%)
0 8518
47.0%
. 6035
33.3%
1 3552
19.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8518
70.6%
1 3552
29.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8518
47.0%
. 6035
33.3%
1 3552
19.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8518
47.0%
. 6035
33.3%
1 3552
19.6%

Symptom_Cognitive_Functioning_problemsolving
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
3361 
0.0
2674 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3361
55.7%
0.0 2674
44.3%

Length

2023-09-11T11:00:02.368409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.409155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3361
55.7%
0.0 2674
44.3%

Most occurring characters

ValueCountFrequency (%)
0 8709
48.1%
. 6035
33.3%
1 3361
 
18.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8709
72.2%
1 3361
 
27.8%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8709
48.1%
. 6035
33.3%
1 3361
 
18.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8709
48.1%
. 6035
33.3%
1 3361
 
18.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3439 
1.0
2596 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3439
57.0%
1.0 2596
43.0%

Length

2023-09-11T11:00:02.452141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.493066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3439
57.0%
1.0 2596
43.0%

Most occurring characters

ValueCountFrequency (%)
0 9474
52.3%
. 6035
33.3%
1 2596
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9474
78.5%
1 2596
 
21.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9474
52.3%
. 6035
33.3%
1 2596
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9474
52.3%
. 6035
33.3%
1 2596
 
14.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4990 
1.0
1045 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4990
82.7%
1.0 1045
 
17.3%

Length

2023-09-11T11:00:02.537011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.577297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4990
82.7%
1.0 1045
 
17.3%

Most occurring characters

ValueCountFrequency (%)
0 11025
60.9%
. 6035
33.3%
1 1045
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11025
91.3%
1 1045
 
8.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11025
60.9%
. 6035
33.3%
1 1045
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11025
60.9%
. 6035
33.3%
1 1045
 
5.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5382 
1.0
653 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5382
89.2%
1.0 653
 
10.8%

Length

2023-09-11T11:00:02.619807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.659489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5382
89.2%
1.0 653
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0 11417
63.1%
. 6035
33.3%
1 653
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11417
94.6%
1 653
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11417
63.1%
. 6035
33.3%
1 653
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11417
63.1%
. 6035
33.3%
1 653
 
3.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
4544 
0.0
1491 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4544
75.3%
0.0 1491
 
24.7%

Length

2023-09-11T11:00:02.815923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.859179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4544
75.3%
0.0 1491
 
24.7%

Most occurring characters

ValueCountFrequency (%)
0 7526
41.6%
. 6035
33.3%
1 4544
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7526
62.4%
1 4544
37.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7526
41.6%
. 6035
33.3%
1 4544
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7526
41.6%
. 6035
33.3%
1 4544
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5510 
1.0
 
525

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 5510
91.3%
1.0 525
 
8.7%

Length

2023-09-11T11:00:02.903816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:02.944910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5510
91.3%
1.0 525
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0 11545
63.8%
. 6035
33.3%
1 525
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11545
95.7%
1 525
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11545
63.8%
. 6035
33.3%
1 525
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11545
63.8%
. 6035
33.3%
1 525
 
2.9%

Symptom_Speech_difficulty_finding_words
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3107 
1.0
2928 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3107
51.5%
1.0 2928
48.5%

Length

2023-09-11T11:00:02.988225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.029045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3107
51.5%
1.0 2928
48.5%

Most occurring characters

ValueCountFrequency (%)
0 9142
50.5%
. 6035
33.3%
1 2928
 
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9142
75.7%
1 2928
 
24.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9142
50.5%
. 6035
33.3%
1 2928
 
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9142
50.5%
. 6035
33.3%
1 2928
 
16.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4186 
1.0
1849 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4186
69.4%
1.0 1849
30.6%

Length

2023-09-11T11:00:03.073554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.113675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4186
69.4%
1.0 1849
30.6%

Most occurring characters

ValueCountFrequency (%)
0 10221
56.5%
. 6035
33.3%
1 1849
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10221
84.7%
1 1849
 
15.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10221
56.5%
. 6035
33.3%
1 1849
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10221
56.5%
. 6035
33.3%
1 1849
 
10.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4469 
1.0
1566 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4469
74.1%
1.0 1566
 
25.9%

Length

2023-09-11T11:00:03.158856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.201365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4469
74.1%
1.0 1566
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 10504
58.0%
. 6035
33.3%
1 1566
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10504
87.0%
1 1566
 
13.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10504
58.0%
. 6035
33.3%
1 1566
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10504
58.0%
. 6035
33.3%
1 1566
 
8.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4468 
1.0
1567 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4468
74.0%
1.0 1567
 
26.0%

Length

2023-09-11T11:00:03.246819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.289871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4468
74.0%
1.0 1567
 
26.0%

Most occurring characters

ValueCountFrequency (%)
0 10503
58.0%
. 6035
33.3%
1 1567
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10503
87.0%
1 1567
 
13.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10503
58.0%
. 6035
33.3%
1 1567
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10503
58.0%
. 6035
33.3%
1 1567
 
8.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4623 
1.0
1412 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4623
76.6%
1.0 1412
 
23.4%

Length

2023-09-11T11:00:03.334580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.375226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4623
76.6%
1.0 1412
 
23.4%

Most occurring characters

ValueCountFrequency (%)
0 10658
58.9%
. 6035
33.3%
1 1412
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10658
88.3%
1 1412
 
11.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10658
58.9%
. 6035
33.3%
1 1412
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10658
58.9%
. 6035
33.3%
1 1412
 
7.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5464 
1.0
571 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5464
90.5%
1.0 571
 
9.5%

Length

2023-09-11T11:00:03.418509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.458382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5464
90.5%
1.0 571
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 11499
63.5%
. 6035
33.3%
1 571
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11499
95.3%
1 571
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11499
63.5%
. 6035
33.3%
1 571
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11499
63.5%
. 6035
33.3%
1 571
 
3.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5024 
1.0
1011 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5024
83.2%
1.0 1011
 
16.8%

Length

2023-09-11T11:00:03.501909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.542855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5024
83.2%
1.0 1011
 
16.8%

Most occurring characters

ValueCountFrequency (%)
0 11059
61.1%
. 6035
33.3%
1 1011
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11059
91.6%
1 1011
 
8.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11059
61.1%
. 6035
33.3%
1 1011
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11059
61.1%
. 6035
33.3%
1 1011
 
5.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5699 
1.0
 
336

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5699
94.4%
1.0 336
 
5.6%

Length

2023-09-11T11:00:03.585785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.626350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5699
94.4%
1.0 336
 
5.6%

Most occurring characters

ValueCountFrequency (%)
0 11734
64.8%
. 6035
33.3%
1 336
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11734
97.2%
1 336
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11734
64.8%
. 6035
33.3%
1 336
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11734
64.8%
. 6035
33.3%
1 336
 
1.9%

Symptom_Speech_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5775 
1.0
 
260

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5775
95.7%
1.0 260
 
4.3%

Length

2023-09-11T11:00:03.671017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.713443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5775
95.7%
1.0 260
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 11810
65.2%
. 6035
33.3%
1 260
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11810
97.8%
1 260
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11810
65.2%
. 6035
33.3%
1 260
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11810
65.2%
. 6035
33.3%
1 260
 
1.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3612 
1.0
2423 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3612
59.9%
1.0 2423
40.1%

Length

2023-09-11T11:00:03.758800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.799473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3612
59.9%
1.0 2423
40.1%

Most occurring characters

ValueCountFrequency (%)
0 9647
53.3%
. 6035
33.3%
1 2423
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9647
79.9%
1 2423
 
20.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9647
53.3%
. 6035
33.3%
1 2423
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9647
53.3%
. 6035
33.3%
1 2423
 
13.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3622 
1.0
2413 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3622
60.0%
1.0 2413
40.0%

Length

2023-09-11T11:00:03.845843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.887144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3622
60.0%
1.0 2413
40.0%

Most occurring characters

ValueCountFrequency (%)
0 9657
53.3%
. 6035
33.3%
1 2413
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9657
80.0%
1 2413
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9657
53.3%
. 6035
33.3%
1 2413
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9657
53.3%
. 6035
33.3%
1 2413
 
13.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4008 
1.0
2027 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4008
66.4%
1.0 2027
33.6%

Length

2023-09-11T11:00:03.932076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:03.974871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4008
66.4%
1.0 2027
33.6%

Most occurring characters

ValueCountFrequency (%)
0 10043
55.5%
. 6035
33.3%
1 2027
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10043
83.2%
1 2027
 
16.8%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10043
55.5%
. 6035
33.3%
1 2027
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10043
55.5%
. 6035
33.3%
1 2027
 
11.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3962 
1.0
2073 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3962
65.7%
1.0 2073
34.3%

Length

2023-09-11T11:00:04.022970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.063695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3962
65.7%
1.0 2073
34.3%

Most occurring characters

ValueCountFrequency (%)
0 9997
55.2%
. 6035
33.3%
1 2073
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9997
82.8%
1 2073
 
17.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9997
55.2%
. 6035
33.3%
1 2073
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9997
55.2%
. 6035
33.3%
1 2073
 
11.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3934 
1.0
2101 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3934
65.2%
1.0 2101
34.8%

Length

2023-09-11T11:00:04.106992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.147174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3934
65.2%
1.0 2101
34.8%

Most occurring characters

ValueCountFrequency (%)
0 9969
55.1%
. 6035
33.3%
1 2101
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9969
82.6%
1 2101
 
17.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9969
55.1%
. 6035
33.3%
1 2101
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9969
55.1%
. 6035
33.3%
1 2101
 
11.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4336 
1.0
1699 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4336
71.8%
1.0 1699
 
28.2%

Length

2023-09-11T11:00:04.190483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.230839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4336
71.8%
1.0 1699
 
28.2%

Most occurring characters

ValueCountFrequency (%)
0 10371
57.3%
. 6035
33.3%
1 1699
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10371
85.9%
1 1699
 
14.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10371
57.3%
. 6035
33.3%
1 1699
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10371
57.3%
. 6035
33.3%
1 1699
 
9.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4417 
1.0
1618 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4417
73.2%
1.0 1618
 
26.8%

Length

2023-09-11T11:00:04.275601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.317426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4417
73.2%
1.0 1618
 
26.8%

Most occurring characters

ValueCountFrequency (%)
0 10452
57.7%
. 6035
33.3%
1 1618
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10452
86.6%
1 1618
 
13.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10452
57.7%
. 6035
33.3%
1 1618
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10452
57.7%
. 6035
33.3%
1 1618
 
8.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4578 
1.0
1457 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4578
75.9%
1.0 1457
 
24.1%

Length

2023-09-11T11:00:04.361029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.401394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4578
75.9%
1.0 1457
 
24.1%

Most occurring characters

ValueCountFrequency (%)
0 10613
58.6%
. 6035
33.3%
1 1457
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10613
87.9%
1 1457
 
12.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10613
58.6%
. 6035
33.3%
1 1457
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10613
58.6%
. 6035
33.3%
1 1457
 
8.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5231 
1.0
804 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5231
86.7%
1.0 804
 
13.3%

Length

2023-09-11T11:00:04.445220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.485412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5231
86.7%
1.0 804
 
13.3%

Most occurring characters

ValueCountFrequency (%)
0 11266
62.2%
. 6035
33.3%
1 804
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11266
93.3%
1 804
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11266
62.2%
. 6035
33.3%
1 804
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11266
62.2%
. 6035
33.3%
1 804
 
4.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5307 
1.0
728 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5307
87.9%
1.0 728
 
12.1%

Length

2023-09-11T11:00:04.529987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.570075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5307
87.9%
1.0 728
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0 11342
62.6%
. 6035
33.3%
1 728
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11342
94.0%
1 728
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11342
62.6%
. 6035
33.3%
1 728
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11342
62.6%
. 6035
33.3%
1 728
 
4.0%

Symptom_Loss_of_smell
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3670 
1.0
2365 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3670
60.8%
1.0 2365
39.2%

Length

2023-09-11T11:00:04.614139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.654309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3670
60.8%
1.0 2365
39.2%

Most occurring characters

ValueCountFrequency (%)
0 9705
53.6%
. 6035
33.3%
1 2365
 
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9705
80.4%
1 2365
 
19.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9705
53.6%
. 6035
33.3%
1 2365
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9705
53.6%
. 6035
33.3%
1 2365
 
13.1%

Symptom_Loss_of_taste
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3875 
1.0
2160 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3875
64.2%
1.0 2160
35.8%

Length

2023-09-11T11:00:04.698107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.738521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3875
64.2%
1.0 2160
35.8%

Most occurring characters

ValueCountFrequency (%)
0 9910
54.7%
. 6035
33.3%
1 2160
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9910
82.1%
1 2160
 
17.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9910
54.7%
. 6035
33.3%
1 2160
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9910
54.7%
. 6035
33.3%
1 2160
 
11.9%

Symptom_Altered_taste
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4352 
1.0
1683 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4352
72.1%
1.0 1683
 
27.9%

Length

2023-09-11T11:00:04.782861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.822841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4352
72.1%
1.0 1683
 
27.9%

Most occurring characters

ValueCountFrequency (%)
0 10387
57.4%
. 6035
33.3%
1 1683
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10387
86.1%
1 1683
 
13.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10387
57.4%
. 6035
33.3%
1 1683
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10387
57.4%
. 6035
33.3%
1 1683
 
9.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4534 
1.0
1501 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4534
75.1%
1.0 1501
 
24.9%

Length

2023-09-11T11:00:04.866597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.907292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4534
75.1%
1.0 1501
 
24.9%

Most occurring characters

ValueCountFrequency (%)
0 10569
58.4%
. 6035
33.3%
1 1501
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10569
87.6%
1 1501
 
12.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10569
58.4%
. 6035
33.3%
1 1501
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10569
58.4%
. 6035
33.3%
1 1501
 
8.3%

Symptom_Altered_smell
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4667 
1.0
1368 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4667
77.3%
1.0 1368
 
22.7%

Length

2023-09-11T11:00:04.951346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:04.993804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4667
77.3%
1.0 1368
 
22.7%

Most occurring characters

ValueCountFrequency (%)
0 10702
59.1%
. 6035
33.3%
1 1368
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10702
88.7%
1 1368
 
11.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10702
59.1%
. 6035
33.3%
1 1368
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10702
59.1%
. 6035
33.3%
1 1368
 
7.6%

Symptom_Phantom_taste
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5438 
1.0
597 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5438
90.1%
1.0 597
 
9.9%

Length

2023-09-11T11:00:05.037647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.205489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5438
90.1%
1.0 597
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0 11473
63.4%
. 6035
33.3%
1 597
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11473
95.1%
1 597
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11473
63.4%
. 6035
33.3%
1 597
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11473
63.4%
. 6035
33.3%
1 597
 
3.3%

Symptom_Heightened_smell
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5539 
1.0
 
496

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5539
91.8%
1.0 496
 
8.2%

Length

2023-09-11T11:00:05.250041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.289805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5539
91.8%
1.0 496
 
8.2%

Most occurring characters

ValueCountFrequency (%)
0 11574
63.9%
. 6035
33.3%
1 496
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11574
95.9%
1 496
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11574
63.9%
. 6035
33.3%
1 496
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11574
63.9%
. 6035
33.3%
1 496
 
2.7%

Symptom_Heightened_taste
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5849 
1.0
 
186

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5849
96.9%
1.0 186
 
3.1%

Length

2023-09-11T11:00:05.333864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.374642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5849
96.9%
1.0 186
 
3.1%

Most occurring characters

ValueCountFrequency (%)
0 11884
65.6%
. 6035
33.3%
1 186
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11884
98.5%
1 186
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11884
65.6%
. 6035
33.3%
1 186
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11884
65.6%
. 6035
33.3%
1 186
 
1.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3563 
1.0
2472 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3563
59.0%
1.0 2472
41.0%

Length

2023-09-11T11:00:05.418910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.461115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3563
59.0%
1.0 2472
41.0%

Most occurring characters

ValueCountFrequency (%)
0 9598
53.0%
. 6035
33.3%
1 2472
 
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9598
79.5%
1 2472
 
20.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9598
53.0%
. 6035
33.3%
1 2472
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9598
53.0%
. 6035
33.3%
1 2472
 
13.7%

Symptom_Tremors
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3601 
1.0
2434 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3601
59.7%
1.0 2434
40.3%

Length

2023-09-11T11:00:05.507917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.549600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3601
59.7%
1.0 2434
40.3%

Most occurring characters

ValueCountFrequency (%)
0 9636
53.2%
. 6035
33.3%
1 2434
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9636
79.8%
1 2434
 
20.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9636
53.2%
. 6035
33.3%
1 2434
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9636
53.2%
. 6035
33.3%
1 2434
 
13.4%

Symptom_Insomnia
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
4183 
0.0
1852 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4183
69.3%
0.0 1852
30.7%

Length

2023-09-11T11:00:05.595844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.638983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4183
69.3%
0.0 1852
30.7%

Most occurring characters

ValueCountFrequency (%)
0 7887
43.6%
. 6035
33.3%
1 4183
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7887
65.3%
1 4183
34.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7887
43.6%
. 6035
33.3%
1 4183
23.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7887
43.6%
. 6035
33.3%
1 4183
23.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3618 
1.0
2417 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3618
60.0%
1.0 2417
40.0%

Length

2023-09-11T11:00:05.682830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.723991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3618
60.0%
1.0 2417
40.0%

Most occurring characters

ValueCountFrequency (%)
0 9653
53.3%
. 6035
33.3%
1 2417
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9653
80.0%
1 2417
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9653
53.3%
. 6035
33.3%
1 2417
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9653
53.3%
. 6035
33.3%
1 2417
 
13.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4038 
1.0
1997 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4038
66.9%
1.0 1997
33.1%

Length

2023-09-11T11:00:05.767845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.809306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4038
66.9%
1.0 1997
33.1%

Most occurring characters

ValueCountFrequency (%)
0 10073
55.6%
. 6035
33.3%
1 1997
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10073
83.5%
1 1997
 
16.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10073
55.6%
. 6035
33.3%
1 1997
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10073
55.6%
. 6035
33.3%
1 1997
 
11.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4099 
1.0
1936 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4099
67.9%
1.0 1936
32.1%

Length

2023-09-11T11:00:05.852365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.893581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4099
67.9%
1.0 1936
32.1%

Most occurring characters

ValueCountFrequency (%)
0 10134
56.0%
. 6035
33.3%
1 1936
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10134
84.0%
1 1936
 
16.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10134
56.0%
. 6035
33.3%
1 1936
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10134
56.0%
. 6035
33.3%
1 1936
 
10.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4580 
1.0
1455 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4580
75.9%
1.0 1455
 
24.1%

Length

2023-09-11T11:00:05.936670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:05.976984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4580
75.9%
1.0 1455
 
24.1%

Most occurring characters

ValueCountFrequency (%)
0 10615
58.6%
. 6035
33.3%
1 1455
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10615
87.9%
1 1455
 
12.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10615
58.6%
. 6035
33.3%
1 1455
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10615
58.6%
. 6035
33.3%
1 1455
 
8.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4890 
1.0
1145 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4890
81.0%
1.0 1145
 
19.0%

Length

2023-09-11T11:00:06.020720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.060346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4890
81.0%
1.0 1145
 
19.0%

Most occurring characters

ValueCountFrequency (%)
0 10925
60.3%
. 6035
33.3%
1 1145
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10925
90.5%
1 1145
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10925
60.3%
. 6035
33.3%
1 1145
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10925
60.3%
. 6035
33.3%
1 1145
 
6.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5089 
1.0
946 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5089
84.3%
1.0 946
 
15.7%

Length

2023-09-11T11:00:06.104266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.144881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5089
84.3%
1.0 946
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 11124
61.4%
. 6035
33.3%
1 946
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11124
92.2%
1 946
 
7.8%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11124
61.4%
. 6035
33.3%
1 946
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11124
61.4%
. 6035
33.3%
1 946
 
5.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5274 
1.0
761 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5274
87.4%
1.0 761
 
12.6%

Length

2023-09-11T11:00:06.190845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.231669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5274
87.4%
1.0 761
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 11309
62.5%
. 6035
33.3%
1 761
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11309
93.7%
1 761
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11309
62.5%
. 6035
33.3%
1 761
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11309
62.5%
. 6035
33.3%
1 761
 
4.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
3189 
0.0
2846 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3189
52.8%
0.0 2846
47.2%

Length

2023-09-11T11:00:06.275245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.315598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3189
52.8%
0.0 2846
47.2%

Most occurring characters

ValueCountFrequency (%)
0 8881
49.1%
. 6035
33.3%
1 3189
 
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8881
73.6%
1 3189
 
26.4%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8881
49.1%
. 6035
33.3%
1 3189
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8881
49.1%
. 6035
33.3%
1 3189
 
17.6%

Symptom_Difficulty_falling_asleep
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3587 
1.0
2448 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3587
59.4%
1.0 2448
40.6%

Length

2023-09-11T11:00:06.359541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.401720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3587
59.4%
1.0 2448
40.6%

Most occurring characters

ValueCountFrequency (%)
0 9622
53.1%
. 6035
33.3%
1 2448
 
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9622
79.7%
1 2448
 
20.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9622
53.1%
. 6035
33.3%
1 2448
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9622
53.1%
. 6035
33.3%
1 2448
 
13.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4549 
1.0
1486 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4549
75.4%
1.0 1486
 
24.6%

Length

2023-09-11T11:00:06.446042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.486880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4549
75.4%
1.0 1486
 
24.6%

Most occurring characters

ValueCountFrequency (%)
0 10584
58.5%
. 6035
33.3%
1 1486
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10584
87.7%
1 1486
 
12.3%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10584
58.5%
. 6035
33.3%
1 1486
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10584
58.5%
. 6035
33.3%
1 1486
 
8.2%

Symptom_Waking_up_in_night
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3118 
1.0
2917 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3118
51.7%
1.0 2917
48.3%

Length

2023-09-11T11:00:06.529893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.569670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3118
51.7%
1.0 2917
48.3%

Most occurring characters

ValueCountFrequency (%)
0 9153
50.6%
. 6035
33.3%
1 2917
 
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9153
75.8%
1 2917
 
24.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9153
50.6%
. 6035
33.3%
1 2917
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9153
50.6%
. 6035
33.3%
1 2917
 
16.1%

Symptom_Hallucinations_visual
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5412 
1.0
623 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5412
89.7%
1.0 623
 
10.3%

Length

2023-09-11T11:00:06.613940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.654794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5412
89.7%
1.0 623
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0 11447
63.2%
. 6035
33.3%
1 623
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11447
94.8%
1 623
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11447
63.2%
. 6035
33.3%
1 623
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11447
63.2%
. 6035
33.3%
1 623
 
3.4%

Symptom_Hallucinations_auditory
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5606 
1.0
 
429

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5606
92.9%
1.0 429
 
7.1%

Length

2023-09-11T11:00:06.698913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.739164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5606
92.9%
1.0 429
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0 11641
64.3%
. 6035
33.3%
1 429
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11641
96.4%
1 429
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11641
64.3%
. 6035
33.3%
1 429
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11641
64.3%
. 6035
33.3%
1 429
 
2.4%

Symptom_Hallucinations_tactile
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5832 
1.0
 
203

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5832
96.6%
1.0 203
 
3.4%

Length

2023-09-11T11:00:06.782294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.823623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5832
96.6%
1.0 203
 
3.4%

Most occurring characters

ValueCountFrequency (%)
0 11867
65.5%
. 6035
33.3%
1 203
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11867
98.3%
1 203
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11867
65.5%
. 6035
33.3%
1 203
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11867
65.5%
. 6035
33.3%
1 203
 
1.1%

Symptom_Hallucinations_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
5894 
1.0
 
141

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5894
97.7%
1.0 141
 
2.3%

Length

2023-09-11T11:00:06.866207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.906693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5894
97.7%
1.0 141
 
2.3%

Most occurring characters

ValueCountFrequency (%)
0 11929
65.9%
. 6035
33.3%
1 141
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11929
98.8%
1 141
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11929
65.9%
. 6035
33.3%
1 141
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11929
65.9%
. 6035
33.3%
1 141
 
0.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3275 
1
2760 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%

Length

2023-09-11T11:00:06.949095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:06.989588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%

Most occurring characters

ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3275
54.3%
1 2760
45.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3850 
1
2185 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%

Length

2023-09-11T11:00:07.033446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.073954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%

Most occurring characters

ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3850
63.8%
1 2185
36.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5262 
1
773 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%

Length

2023-09-11T11:00:07.118886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.159394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%

Most occurring characters

ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5262
87.2%
1 773
 
12.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3908 
1
2127 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%

Length

2023-09-11T11:00:07.204114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.244257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%

Most occurring characters

ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3908
64.8%
1 2127
35.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3133 
1
2902 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%

Length

2023-09-11T11:00:07.288444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.328881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%

Most occurring characters

ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3133
51.9%
1 2902
48.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4521 
1
1514 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%

Length

2023-09-11T11:00:07.371915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.413223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4521
74.9%
1 1514
 
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3246 
1
2789 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%

Length

2023-09-11T11:00:07.456532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.497464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%

Most occurring characters

ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3246
53.8%
1 2789
46.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5557 
1
 
478

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%

Length

2023-09-11T11:00:07.541148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.581326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%

Most occurring characters

ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5557
92.1%
1 478
 
7.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5625 
1
 
410

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%

Length

2023-09-11T11:00:07.623613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.664182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%

Most occurring characters

ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5625
93.2%
1 410
 
6.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5672 
1
 
363

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%

Length

2023-09-11T11:00:07.706655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.746957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%

Most occurring characters

ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5672
94.0%
1 363
 
6.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5842 
1
 
193

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Length

2023-09-11T11:00:07.788891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.829422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Most occurring characters

ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5842
96.8%
1 193
 
3.2%

Symptom_Temp_lability
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3747 
1.0
2288 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3747
62.1%
1.0 2288
37.9%

Length

2023-09-11T11:00:07.871792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.912667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3747
62.1%
1.0 2288
37.9%

Most occurring characters

ValueCountFrequency (%)
0 9782
54.0%
. 6035
33.3%
1 2288
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9782
81.0%
1 2288
 
19.0%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9782
54.0%
. 6035
33.3%
1 2288
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9782
54.0%
. 6035
33.3%
1 2288
 
12.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4363 
1.0
1672 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4363
72.3%
1.0 1672
 
27.7%

Length

2023-09-11T11:00:07.955884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:07.996714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4363
72.3%
1.0 1672
 
27.7%

Most occurring characters

ValueCountFrequency (%)
0 10398
57.4%
. 6035
33.3%
1 1672
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10398
86.1%
1 1672
 
13.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10398
57.4%
. 6035
33.3%
1 1672
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10398
57.4%
. 6035
33.3%
1 1672
 
9.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
3677 
1.0
2358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3677
60.9%
1.0 2358
39.1%

Length

2023-09-11T11:00:08.192097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.233001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3677
60.9%
1.0 2358
39.1%

Most occurring characters

ValueCountFrequency (%)
0 9712
53.6%
. 6035
33.3%
1 2358
 
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9712
80.5%
1 2358
 
19.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9712
53.6%
. 6035
33.3%
1 2358
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9712
53.6%
. 6035
33.3%
1 2358
 
13.0%

Symptom_Elevated_temp
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
3321 
0.0
2714 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3321
55.0%
0.0 2714
45.0%

Length

2023-09-11T11:00:08.277241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.316815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3321
55.0%
0.0 2714
45.0%

Most occurring characters

ValueCountFrequency (%)
0 8749
48.3%
. 6035
33.3%
1 3321
 
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8749
72.5%
1 3321
 
27.5%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8749
48.3%
. 6035
33.3%
1 3321
 
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8749
48.3%
. 6035
33.3%
1 3321
 
18.3%

Symptom_Fever
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4231 
1.0
1804 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4231
70.1%
1.0 1804
29.9%

Length

2023-09-11T11:00:08.360270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.401062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4231
70.1%
1.0 1804
29.9%

Most occurring characters

ValueCountFrequency (%)
0 10266
56.7%
. 6035
33.3%
1 1804
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10266
85.1%
1 1804
 
14.9%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10266
56.7%
. 6035
33.3%
1 1804
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10266
56.7%
. 6035
33.3%
1 1804
 
10.0%

Symptom_Low_temp
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0.0
4863 
1.0
1172 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4863
80.6%
1.0 1172
 
19.4%

Length

2023-09-11T11:00:08.444969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.484910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4863
80.6%
1.0 1172
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 10898
60.2%
. 6035
33.3%
1 1172
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10898
90.3%
1 1172
 
9.7%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10898
60.2%
. 6035
33.3%
1 1172
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10898
60.2%
. 6035
33.3%
1 1172
 
6.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1.0
3276 
0.0
2759 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18105
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3276
54.3%
0.0 2759
45.7%

Length

2023-09-11T11:00:08.528918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.569163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3276
54.3%
0.0 2759
45.7%

Most occurring characters

ValueCountFrequency (%)
0 8794
48.6%
. 6035
33.3%
1 3276
 
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12070
66.7%
Other Punctuation 6035
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8794
72.9%
1 3276
 
27.1%
Other Punctuation
ValueCountFrequency (%)
. 6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8794
48.6%
. 6035
33.3%
1 3276
 
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8794
48.6%
. 6035
33.3%
1 3276
 
18.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3573 
0
2462 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Length

2023-09-11T11:00:08.613586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.653830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring characters

ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3573
59.2%
0 2462
40.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5044 
1
991 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Length

2023-09-11T11:00:08.697285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.738642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring characters

ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5044
83.6%
1 991
 
16.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3961 
0
2074 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Length

2023-09-11T11:00:08.783311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.824079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring characters

ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3961
65.6%
0 2074
34.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5041 
1
994 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Length

2023-09-11T11:00:08.867793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.909557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring characters

ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5041
83.5%
1 994
 
16.5%

Symptom_Fainting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5264 
1
771 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Length

2023-09-11T11:00:08.954375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:08.996135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring characters

ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5264
87.2%
1 771
 
12.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4058 
0
1977 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%

Length

2023-09-11T11:00:09.040943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.082223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%

Most occurring characters

ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4058
67.2%
0 1977
32.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4139 
1
1896 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%

Length

2023-09-11T11:00:09.127574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.168214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%

Most occurring characters

ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4139
68.6%
1 1896
31.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3416 
0
2619 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Length

2023-09-11T11:00:09.212372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.252810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Most occurring characters

ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3416
56.6%
0 2619
43.4%

Symptom_New_anaphylaxis
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5776 
1
 
259

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Length

2023-09-11T11:00:09.295992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.337151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5776
95.7%
1 259
 
4.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4867 
1
1168 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%

Length

2023-09-11T11:00:09.380590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.423173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4867
80.6%
1 1168
 
19.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5028 
1
1007 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Length

2023-09-11T11:00:09.470119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.512981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5028
83.3%
1 1007
 
16.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4477 
1
1558 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Length

2023-09-11T11:00:09.558170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.600031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Most occurring characters

ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4477
74.2%
1 1558
 
25.8%

Symptom_Diarrhea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3326 
0
2709 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Length

2023-09-11T11:00:09.645481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.685555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Most occurring characters

ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3326
55.1%
0 2709
44.9%

Symptom_Vomiting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5131 
1
904 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Length

2023-09-11T11:00:09.729885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.770946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring characters

ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5131
85.0%
1 904
 
15.0%

Symptom_Nausea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3235 
1
2800 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%

Length

2023-09-11T11:00:09.814585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.855498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%

Most occurring characters

ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3235
53.6%
1 2800
46.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3025 
1
3010 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%

Length

2023-09-11T11:00:09.898605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:09.938517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%

Most occurring characters

ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3025
50.1%
1 3010
49.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3976 
1
2059 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%

Length

2023-09-11T11:00:09.982581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.023124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%

Most occurring characters

ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3976
65.9%
1 2059
34.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3839 
0
2196 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%

Length

2023-09-11T11:00:10.067371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.107699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%

Most occurring characters

ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3839
63.6%
0 2196
36.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4279 
1
1756 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Length

2023-09-11T11:00:10.154383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.197003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring characters

ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4279
70.9%
1 1756
29.1%

Symptom_Coughing_up_blood
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5746 
1
 
289

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Length

2023-09-11T11:00:10.240966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.282007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring characters

ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5746
95.2%
1 289
 
4.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4447 
0
1588 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%

Length

2023-09-11T11:00:10.324446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.365110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%

Most occurring characters

ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4447
73.7%
0 1588
 
26.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4105 
0
1930 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Length

2023-09-11T11:00:10.408378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.449182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Most occurring characters

ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4105
68.0%
0 1930
32.0%

Symptom_Sneezing
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4385 
1
1650 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Length

2023-09-11T11:00:10.492925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.533768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring characters

ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4385
72.7%
1 1650
 
27.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4056 
1
1979 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Length

2023-09-11T11:00:10.578649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.618618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring characters

ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4056
67.2%
1 1979
32.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3181 
1
2854 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%

Length

2023-09-11T11:00:10.663450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.703791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%

Most occurring characters

ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3181
52.7%
1 2854
47.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4979 
1
1056 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Length

2023-09-11T11:00:10.747954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.788919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4979
82.5%
1 1056
 
17.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3329 
0
2706 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Length

2023-09-11T11:00:10.831855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.872068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Most occurring characters

ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3329
55.2%
0 2706
44.8%

Symptom_Respiratory_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5516 
1
 
519

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Length

2023-09-11T11:00:10.915861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:10.955337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5516
91.4%
1 519
 
8.6%

Symptom_Hearing_loss
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5450 
1
585 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Length

2023-09-11T11:00:10.999474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.039264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5450
90.3%
1 585
 
9.7%

Symptom_Tinnitus
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3978 
1
2057 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Length

2023-09-11T11:00:11.082903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.123077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Most occurring characters

ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3978
65.9%
1 2057
34.1%

Symptom_Eye_vision_symptoms
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3942 
1
2093 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Length

2023-09-11T11:00:11.166756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.206911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Most occurring characters

ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3942
65.3%
1 2093
34.7%

Symptom_Reproductive_all_menstrual_issues
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4928 
1
1107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%

Length

2023-09-11T11:00:11.250497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.291488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%

Most occurring characters

ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4928
81.7%
1 1107
 
18.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5087 
1
948 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%

Length

2023-09-11T11:00:11.334766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.375495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5087
84.3%
1 948
 
15.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5275 
1
760 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%

Length

2023-09-11T11:00:11.418867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.458217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5275
87.4%
1 760
 
12.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5050 
1
985 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%

Length

2023-09-11T11:00:11.502721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.542372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%

Most occurring characters

ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5050
83.7%
1 985
 
16.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5257 
1
778 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Length

2023-09-11T11:00:11.585445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.624810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring characters

ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5257
87.1%
1 778
 
12.9%

Symptom_Dermatographia
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5550 
1
 
485

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Length

2023-09-11T11:00:11.668586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.890369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5550
92.0%
1 485
 
8.0%

Symptom_New_allergies
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5495 
1
 
540

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%

Length

2023-09-11T11:00:11.934519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:11.975187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5495
91.1%
1 540
 
8.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4447 
1
1588 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Length

2023-09-11T11:00:12.018386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.059547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Most occurring characters

ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4447
73.7%
1 1588
 
26.3%

Symptom_Skin_Allergy_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5464 
1
571 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%

Length

2023-09-11T11:00:12.103435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.145498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5464
90.5%
1 571
 
9.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4019 
1
2016 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%

Length

2023-09-11T11:00:12.189383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.229962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%

Most occurring characters

ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4019
66.6%
1 2016
33.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
4087 
0
1948 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%

Length

2023-09-11T11:00:12.273212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.313688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%

Most occurring characters

ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4087
67.7%
0 1948
32.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
3301 
0
2734 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%

Length

2023-09-11T11:00:12.357852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.398175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%

Most occurring characters

ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3301
54.7%
0 2734
45.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4520 
1
1515 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Length

2023-09-11T11:00:12.441743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.481285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4520
74.9%
1 1515
 
25.1%

Symptom_Inability_to_yawn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5709 
1
 
326

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%

Length

2023-09-11T11:00:12.524896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.564233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%

Most occurring characters

ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5709
94.6%
1 326
 
5.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4191 
1
1844 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%

Length

2023-09-11T11:00:12.606374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.646979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%

Most occurring characters

ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4191
69.4%
1 1844
30.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4524 
1
1511 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Length

2023-09-11T11:00:12.690346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.731147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Most occurring characters

ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4524
75.0%
1 1511
 
25.0%

Symptom_Depersonalization
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4718 
1
1317 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Length

2023-09-11T11:00:12.774029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.813777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Most occurring characters

ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4718
78.2%
1 1317
 
21.8%

Symptom_Derealization
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5051 
1
984 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%

Length

2023-09-11T11:00:12.857658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.897826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%

Most occurring characters

ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5051
83.7%
1 984
 
16.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4060 
1
1975 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%

Length

2023-09-11T11:00:12.941337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:12.982340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%

Most occurring characters

ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4060
67.3%
1 1975
32.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3917 
1
2118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%

Length

2023-09-11T11:00:13.025949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.065908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%

Most occurring characters

ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3917
64.9%
1 2118
35.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4545 
1
1490 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%

Length

2023-09-11T11:00:13.109571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.150060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%

Most occurring characters

ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4545
75.3%
1 1490
 
24.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4734 
1
1301 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Length

2023-09-11T11:00:13.193957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.235161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Most occurring characters

ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4734
78.4%
1 1301
 
21.6%

Symptom_Ear_numbness
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5737 
1
 
298

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%

Length

2023-09-11T11:00:13.278524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.318984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5737
95.1%
1 298
 
4.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4783 
1
1252 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Length

2023-09-11T11:00:13.361153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.401548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Most occurring characters

ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4783
79.3%
1 1252
 
20.7%

Symptom_Eye_Vision_blurred_vision
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3796 
1
2239 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%

Length

2023-09-11T11:00:13.445391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.486070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%

Most occurring characters

ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3796
62.9%
1 2239
37.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4141 
1
1894 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%

Length

2023-09-11T11:00:13.530568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.570857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%

Most occurring characters

ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4141
68.6%
1 1894
31.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4298 
1
1737 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%

Length

2023-09-11T11:00:13.614164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.654635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%

Most occurring characters

ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4298
71.2%
1 1737
28.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4470 
1
1565 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%

Length

2023-09-11T11:00:13.698294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.739379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4470
74.1%
1 1565
 
25.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4805 
1
1230 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Length

2023-09-11T11:00:13.784123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.824673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Most occurring characters

ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4805
79.6%
1 1230
 
20.4%

Symptom_Eye_Vision_double_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5555 
1
 
480

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Length

2023-09-11T11:00:13.869582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.909407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5555
92.0%
1 480
 
8.0%

Symptom_Eye_Vision_tunnel_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5804 
1
 
231

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Length

2023-09-11T11:00:13.952297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:13.992074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Most occurring characters

ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5804
96.2%
1 231
 
3.8%

Symptom_Eye_Vision_loss_of_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5968 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%

Length

2023-09-11T11:00:14.034516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.074864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5968
98.9%
1 67
 
1.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5269 
1
766 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%

Length

2023-09-11T11:00:14.117052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.157649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5269
87.3%
1 766
 
12.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5183 
1
852 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%

Length

2023-09-11T11:00:14.201753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.242300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%

Most occurring characters

ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5183
85.9%
1 852
 
14.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5533 
1
 
502

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%

Length

2023-09-11T11:00:14.286608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.326858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5533
91.7%
1 502
 
8.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5229 
1
806 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%

Length

2023-09-11T11:00:14.370640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.411246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%

Most occurring characters

ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5229
86.6%
1 806
 
13.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4517 
1
1518 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%

Length

2023-09-11T11:00:14.455122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.495842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%

Most occurring characters

ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4517
74.8%
1 1518
 
25.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5951 
1
 
84

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%

Length

2023-09-11T11:00:14.539226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.579226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5951
98.6%
1 84
 
1.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5459 
1
576 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%

Length

2023-09-11T11:00:14.620996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.662071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5459
90.5%
1 576
 
9.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5815 
1
 
220

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%

Length

2023-09-11T11:00:14.704930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.746330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%

Most occurring characters

ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5815
96.4%
1 220
 
3.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5354 
1
681 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%

Length

2023-09-11T11:00:14.787886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.828696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%

Most occurring characters

ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5354
88.7%
1 681
 
11.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5938 
1
 
97

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%

Length

2023-09-11T11:00:14.872163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.911782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5938
98.4%
1 97
 
1.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5108 
1
927 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%

Length

2023-09-11T11:00:14.954673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:14.995018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%

Most occurring characters

ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5108
84.6%
1 927
 
15.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5492 
1
 
543

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%

Length

2023-09-11T11:00:15.039607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.080250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5492
91.0%
1 543
 
9.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5307 
1
728 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%

Length

2023-09-11T11:00:15.123746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.164316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5307
87.9%
1 728
 
12.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4151 
1
1884 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%

Length

2023-09-11T11:00:15.208042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.248176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%

Most occurring characters

ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4151
68.8%
1 1884
31.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
3543 
1
2492 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%

Length

2023-09-11T11:00:15.290981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.330648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%

Most occurring characters

ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3543
58.7%
1 2492
41.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4596 
1
1439 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%

Length

2023-09-11T11:00:15.375317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.415682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%

Most occurring characters

ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4596
76.2%
1 1439
 
23.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4114 
1
1921 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%

Length

2023-09-11T11:00:15.459340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.499825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%

Most occurring characters

ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4114
68.2%
1 1921
31.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4555 
1
1480 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%

Length

2023-09-11T11:00:15.543781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.583726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%

Most occurring characters

ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4555
75.5%
1 1480
 
24.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5287 
1
748 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Length

2023-09-11T11:00:15.627411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.668033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Most occurring characters

ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5287
87.6%
1 748
 
12.4%

Symptom_SkinAllergy_brittle_nail
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5375 
1
660 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Length

2023-09-11T11:00:15.711629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.752532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5375
89.1%
1 660
 
10.9%

Symptom_SkinAllergy_new_allergies
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5454 
1
581 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Length

2023-09-11T11:00:15.796486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.837016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5454
90.4%
1 581
 
9.6%

Symptom_SkinAllergy_other_itchy
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5689 
1
 
346

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Length

2023-09-11T11:00:15.881016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:15.921128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Most occurring characters

ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5689
94.3%
1 346
 
5.7%

Symptom_SkinAllergy_shingles
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
5880 
1
 
155

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Length

2023-09-11T11:00:15.964122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:16.003785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Most occurring characters

ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5880
97.4%
1 155
 
2.6%

Symptom_PEM
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
5333 
0
702 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Length

2023-09-11T11:00:16.046910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:16.087384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring characters

ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5333
88.4%
0 702
 
11.6%

Symptom_Fatigue
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
1
5911 
0
 
124

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Length

2023-09-11T11:00:16.130863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:16.391680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring characters

ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5911
97.9%
0 124
 
2.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
0
4775 
1
1260 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6035
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Length

2023-09-11T11:00:16.433891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-11T11:00:16.475022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring characters

ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6035
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4775
79.1%
1 1260
 
20.9%

Correlations

2023-09-11T11:00:16.604971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_New_allergiesSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Inability_to_yawnSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_DepersonalizationSymptom_DerealizationSymptom_Extreme_thirstSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_new_allergiesSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_meds
Symptom_Memory_short1.0000.1040.0000.0250.2440.0350.0420.0490.0280.0190.0490.0290.0000.0000.0350.0430.0460.0480.0240.0310.0210.0000.0140.0270.0380.0100.0120.0360.0450.0140.0000.0070.0000.0130.0340.0430.0290.0180.0290.0160.0150.0000.0000.0070.0350.0440.0400.0530.0470.0110.0230.0300.0180.0160.0180.0000.0200.0000.0110.0370.0000.0190.0330.0390.0000.0000.0200.0130.0000.0210.0300.0060.0000.0140.0020.0340.0240.0290.0160.0230.0250.0230.0250.0140.0000.0370.0290.0040.0190.0230.0130.0000.0210.0000.0020.0000.0240.0390.0350.0240.0210.0160.0150.0000.0350.0160.0000.0110.0000.0380.0000.0000.0000.0000.0170.0000.0380.0440.0330.0230.0000.0190.0000.0310.0000.0070.0130.0160.0000.0000.0000.0110.0240.0100.0330.0280.0370.0260.0000.0000.0100.0000.0120.0110.0080.0300.0100.0000.0000.0000.0000.0100.0180.0310.0370.0340.0050.0000.0080.0000.0000.0000.0000.0170.000
Symptom_Memory_long0.1041.0000.2550.2440.0370.3710.3770.3750.2850.1630.2260.3070.0600.3720.3450.3380.3610.2950.2060.2780.1310.0760.1090.1520.1660.1220.1050.1120.2040.1230.0730.1070.0980.0990.1450.1640.1210.1130.0770.0890.1180.1320.1390.1570.0960.1470.1320.1130.1160.0830.1460.1400.1070.1500.1300.1400.1020.0350.1500.1360.0870.1430.1130.1320.1640.0660.0590.0580.0450.1070.1510.1090.0870.0990.0950.1430.1040.0710.1150.0690.1050.1960.1390.0960.0340.2400.2010.1160.0780.0810.1350.0890.0770.0990.0820.0460.1030.0620.1300.1090.0560.1090.0750.0000.1140.1330.2060.0770.1470.0860.1130.0890.1000.0730.0940.0650.1520.1360.1590.1560.0200.1110.0840.1780.1650.1250.2230.1140.0870.1040.0990.2210.2210.1320.1400.1460.1350.0970.0650.0540.1070.0700.1800.1050.0370.0550.0300.1090.0140.1150.0330.0630.0990.1120.1050.1650.1600.0650.1150.0790.0560.0390.1410.0890.105
Symptom_Memory_no_new_memories0.0000.2551.0000.2320.0400.1830.2010.2000.1660.1360.2190.1330.0200.1820.2180.2320.2420.2140.1630.2090.1380.0470.0480.0890.1350.0830.0530.0850.1320.0740.0560.1110.0450.0360.0800.0860.0810.0900.0500.0640.0680.1030.0720.0900.0630.0920.1020.0800.0820.0690.0750.0700.0880.0670.1010.1130.1020.0250.0800.0970.0900.0820.0820.1090.1010.0590.0580.0500.0500.0380.0920.0660.0490.0490.0740.0590.0570.0500.0530.0740.0730.0710.0980.0460.0710.1920.1620.0610.0260.0470.0640.0670.0460.0490.0660.0680.0190.0220.0590.0510.0470.0970.0360.0070.1090.0810.1500.0620.1150.0910.0680.0590.0750.0900.0650.0430.1110.0570.0850.0980.0500.1050.0680.1460.1800.0860.1310.0670.0620.1000.0710.1560.1670.0690.0950.0920.1200.1560.0750.0430.0710.0660.1220.0600.0390.0460.0490.0970.0060.0730.0130.0810.0670.0750.0890.0760.1100.0570.1040.0840.0130.0260.0510.0230.090
Symptom_Memory_forget_tasks0.0250.2440.2321.0000.0590.2040.2450.2360.1830.1280.2810.1440.0480.2470.2620.2740.2800.2810.2260.2750.1070.0520.0880.1230.1440.0760.0720.1270.1610.1200.0530.1010.0670.0780.1170.1500.1240.1460.1040.0960.1140.1230.0810.1280.1220.1070.1230.1020.1080.0930.1010.0840.0600.0800.1810.1630.1230.0530.1440.1330.0940.1220.0880.1360.1180.0950.0600.0540.0580.1130.1310.0730.0930.0820.1220.1170.1040.0980.0760.1050.1210.1370.1350.0910.0740.2520.2170.1010.0630.0880.1010.0690.0740.0520.0730.0700.0670.0590.0720.0640.0680.0860.0550.0000.1290.1120.1480.0730.1270.0900.1070.0930.0780.0950.1000.0610.1370.0750.1260.1360.0260.1020.0850.1790.1820.1180.1850.1160.0740.1220.0850.1670.1910.1090.1130.1150.1440.1140.0590.0380.0720.0720.1550.0690.0600.0440.0230.1030.0000.0920.0270.0730.0910.1080.0970.1370.1360.1050.1370.0940.0410.0570.0940.0370.108
Symptom_Memory_other0.2440.0370.0400.0591.0000.0730.0740.0560.0550.0270.0740.0840.1940.1740.1100.1070.1190.1030.0590.1180.0660.1050.0190.0360.0270.0240.0000.0080.0360.0000.1370.0120.0160.0140.0450.0160.0420.0130.0310.0000.0460.0450.0000.0180.0280.0100.0180.0210.0230.0280.0960.0300.0320.0170.0190.0420.0290.0580.0270.0330.0370.0330.0170.0480.0270.0300.0000.0220.0240.0030.0180.0880.0420.0400.0670.0410.0240.0340.0380.0240.0340.0530.0390.0510.0100.0530.0550.0240.0480.0380.0400.0400.0450.0360.0370.0250.0350.0000.0440.0410.0240.0380.0260.0960.0290.0310.0580.0270.0750.0350.0380.0370.0400.0110.0480.0700.0440.0110.0420.0240.0000.0310.0330.0280.0290.0240.0170.0320.0460.0000.0870.0600.0420.0530.0470.0380.0330.0000.0170.0370.0300.0490.0410.1120.0000.0120.0000.0000.0000.0770.0360.0000.0140.0360.0000.0360.0390.0240.0430.0000.0440.0180.0320.0270.051
Symptom_Cognitive_Functioning_thinking0.0350.3710.1830.2040.0731.0000.4940.5120.3510.1790.1690.5140.0220.3440.3250.3090.3290.2820.1640.2400.1060.0450.1680.1960.2270.1560.1360.1360.2450.1470.0520.1130.0630.0710.0870.1140.0830.0730.0780.0670.1240.1320.1470.1580.1480.1550.1510.1280.1320.0700.1680.1730.1090.1410.1150.1100.0700.0260.1510.1460.0910.1250.1350.1290.1720.0740.0720.0450.0400.1040.1610.1070.1290.1120.0980.1640.1330.0810.1510.0700.1020.2520.1440.1370.0470.2160.1990.1070.0960.0860.1640.1060.0700.1050.0710.0440.1420.1210.1040.0900.0880.0970.0960.0000.0830.1350.1960.1010.1040.0890.0890.0680.0860.0660.0950.0350.1650.1870.1740.1430.0120.1310.1100.1880.1540.1630.2170.1190.0960.0820.0690.2080.2290.1300.1520.1320.1210.0880.0410.0500.0950.0820.1510.0740.0320.0820.0080.1110.0050.0820.0520.0810.0980.1200.0690.1270.1160.0560.0940.0560.0220.0160.2090.1660.064
Symptom_Cognitive_Functioning_executive0.0420.3770.2010.2450.0740.4941.0000.5840.2890.1830.1760.4470.0290.3460.3310.3380.3440.2930.1710.2660.1220.0440.1610.1720.2120.1580.1270.1380.2470.1430.0840.0890.0610.0680.1080.1230.1000.0910.0740.0730.1310.1210.1520.1540.1240.1710.1570.1390.1050.0810.1680.1460.1150.1490.1160.1230.0890.0340.1580.1310.0740.1210.1250.1340.1730.0600.0540.0530.0300.1200.1760.1150.1220.0980.0840.1510.1380.0870.1350.0910.1190.2210.1410.1320.0500.2500.2040.1130.0890.0810.1540.1190.0710.0930.0750.0560.1420.1020.0950.0820.0850.1030.0920.0000.0810.1370.1850.0720.1130.0780.0860.0820.0770.0790.1170.0520.1410.1650.1660.1260.0280.1240.0880.1940.1810.1400.2330.1000.0890.0830.0600.1980.2370.1150.1390.1450.1040.0930.0400.0590.0750.0560.1470.0810.0230.0810.0000.1110.0150.0900.0550.0380.0980.1240.0900.1390.1190.0770.0900.0740.0290.0000.2010.1360.100
Symptom_Cognitive_Functioning_problemsolving0.0490.3750.2000.2360.0560.5120.5841.0000.2980.1900.1730.4350.0230.3230.3310.3290.3480.2920.1720.2670.1260.0470.1570.1900.2080.1370.1150.1390.2520.1360.0670.1100.0560.0660.1150.1200.1000.0960.0760.0760.1230.1350.1440.1450.1330.1650.1410.1250.1320.0770.1620.1420.1040.1420.1090.1160.0830.0330.1510.1440.0780.1420.1240.1180.1750.0730.0690.0570.0380.1140.1730.1230.1170.0950.1040.1540.1240.1030.1350.0830.1160.2200.1360.1320.0430.2450.2100.1250.1040.0710.1580.1150.0880.0940.0790.0480.1290.1050.1100.1130.1000.1160.0950.0130.0970.1540.1950.0840.1250.0870.0910.0910.0720.0710.0950.0470.1490.1470.1500.1260.0260.1290.1020.1840.1670.1400.2330.1070.0970.0880.0660.2060.2430.1260.1490.1500.1220.0940.0430.0670.1020.1090.1530.0940.0000.0870.0150.1290.0330.0950.0490.0750.1020.1220.1030.1350.1350.0810.0880.0760.0000.0000.1840.1250.107
Symptom_Cognitive_Functioning_slowedthoughts0.0280.2850.1660.1830.0550.3510.2890.2981.0000.0420.1490.3150.0470.2900.2900.2630.2780.2700.1560.2080.1000.0520.0930.1230.1810.1290.0910.1090.2050.1090.0540.1050.0470.0590.0960.0860.0580.0780.0910.0680.1190.1170.1000.1040.0890.1250.1170.0880.0750.0560.1200.1140.0960.1040.0990.0860.0850.0200.1170.1320.0800.1270.1130.1350.1450.0810.0630.0600.0370.0970.1350.0840.1180.0750.0970.1390.1150.0690.1030.0760.0990.1680.1350.0910.0390.2070.2070.0830.0720.0780.1270.0910.0550.0790.0680.0420.0950.0900.0800.0800.0790.0720.0680.0000.0650.1160.1550.0830.0940.0600.0730.0820.0730.0540.0690.0210.1490.1290.1250.1220.0410.0800.0590.1570.1460.1050.1680.1020.0880.0840.0700.1450.1710.1010.1370.0930.0990.1110.0320.0410.0840.0780.1240.0710.0450.0750.0190.0990.0000.0820.0390.0690.1070.1080.1060.1060.0990.0480.0850.0450.0000.0420.1310.0880.072
Symptom_Cognitive_Functioning_fastthoughts0.0190.1630.1360.1280.0270.1790.1830.1900.0421.0000.1490.1690.0000.1380.1370.1490.1730.1540.1210.1340.0330.0130.1030.1310.1050.0620.0850.0880.1470.1060.0200.1030.0700.0800.0800.1000.0920.1120.0800.0780.0920.0820.1040.1300.1080.1220.1190.1270.1250.0490.0820.1330.0890.1140.1070.1170.0780.0000.1270.0890.0770.0860.0900.0950.0900.0400.0590.0610.0410.0840.1120.0420.0670.0670.0450.1060.0780.0420.0840.0430.0430.1080.0830.0600.0310.1550.1440.0910.0580.0540.0940.0750.0680.0330.0660.0220.0600.0480.1140.0950.0410.0760.0640.0140.0600.0670.1090.0810.0900.0690.0790.0450.0770.0630.0690.0010.1140.0930.1030.1210.0390.0970.0470.1780.1420.1050.1140.0860.0790.0860.0400.1220.1460.0980.1190.1010.0720.0660.0520.0110.0820.0520.1120.0570.0510.0730.0150.0980.0150.0830.0350.0760.0930.0950.0970.1320.1080.0500.0820.0590.0260.0000.0480.0440.044
Symptom_Cognitive_Functioning_agnosia0.0490.2260.2190.2810.0740.1690.1760.1730.1490.1491.0000.1280.0290.2450.2590.2430.2810.2660.2290.2240.0670.0300.0790.1170.1070.0770.0470.0910.1380.1130.0400.0920.0780.0790.1130.1550.1160.1510.1020.1180.1120.1330.0750.1000.1170.1240.1230.1170.1230.0670.0790.1090.0740.0660.1590.1840.1280.0220.1240.1100.0960.1280.1050.1340.1170.0650.0840.0270.0640.0690.1410.0730.0770.0750.0990.0970.0950.0890.0910.0790.1000.1320.1420.0880.0710.2270.2320.0810.0750.0810.0920.0960.0690.0700.0670.0490.0580.0690.0690.0730.0770.1320.0580.0000.1020.1160.1400.0790.1020.0830.0770.0840.0990.0740.0960.0000.1760.1100.1360.1750.0070.1120.0890.1570.1320.0960.1600.1010.0910.1160.0780.1570.1840.0980.1160.1310.1250.1430.0660.0320.0560.0630.1910.0400.0410.0400.0140.0980.0110.0760.0070.0820.0810.0880.0880.1330.1210.0710.1170.0800.0190.0580.0850.0350.083
Symptom_Cognitive_Functioning_attentionconcentration0.0290.3070.1330.1440.0840.5140.4470.4350.3150.1690.1281.0000.0270.3000.2430.2740.2590.2210.1230.2000.0850.0350.1480.1890.2010.1470.1160.1250.2210.1300.0250.1050.0660.0770.1050.1030.0750.0660.0650.0550.0950.0990.1840.1510.1340.1550.1380.1300.0990.0690.1590.1400.0980.1590.0820.0680.0600.0200.1310.1260.0670.1310.1270.1040.1590.0550.0520.0500.0440.1000.1450.0980.1320.1030.0850.1470.1390.0720.1570.0790.0900.2240.1230.1250.0260.1830.1650.0930.1040.0840.1580.1150.0850.0870.0620.0170.1370.1300.0950.0760.0980.0890.1160.0000.0530.1350.1670.0830.1020.0860.0810.0440.0670.0650.0850.0320.1250.1650.1550.1080.0320.1150.0990.1830.1370.1550.1950.1070.0850.0680.0740.1730.2100.1280.1410.1170.0920.0760.0270.0520.1040.0760.1240.0740.0240.0770.0000.1000.0000.0880.0380.0770.0920.1370.0850.1220.1090.0790.0830.0600.0300.0000.2150.1750.082
Symptom_Cognitive_Functioning_other0.0000.0600.0200.0480.1940.0220.0290.0230.0470.0000.0290.0271.0000.1390.1160.1040.0990.0850.0650.0960.0790.1290.0330.0340.0460.0260.0160.0340.0400.0360.1110.0000.0000.0000.0430.0360.0300.0320.0350.0330.0380.0350.0330.0180.0180.0120.0330.0430.0070.0240.1150.0420.0180.0000.0310.0060.0220.0860.0500.0320.0310.0390.0320.0370.0000.0000.0000.0240.0000.0170.0360.0830.0290.0420.0680.0530.0370.0220.0480.0340.0320.0520.0260.0230.0000.0520.0540.0280.0170.0170.0480.0560.0230.0260.0080.0490.0350.0320.0300.0320.0170.0490.0350.1050.0140.0380.0510.0380.0530.0300.0460.0300.0090.0120.0480.0770.0520.0200.0330.0350.0200.0430.0270.0190.0440.0300.0480.0300.0190.0000.0600.0420.0460.0410.0480.0290.0390.0040.0000.0360.0210.0330.0350.0890.0060.0210.0000.0000.0000.0690.0710.0130.0000.0230.0000.0510.0440.0240.0570.0150.0810.0180.0320.0120.050
Symptom_Speech_difficulty_finding_words0.0000.3720.1820.2470.1740.3440.3460.3230.2900.1380.2450.3000.1391.0000.6450.5780.5790.5460.3160.4460.2270.1270.1300.1710.1930.1370.0900.1340.2040.1320.0760.0960.0840.0710.1200.1570.1000.0880.1080.0840.1490.1630.1400.1520.1150.1560.1510.1380.1050.0880.1840.1610.1040.1350.1530.1410.0950.0400.1900.1640.1150.1730.1600.1750.1730.1070.0970.0610.0550.1100.1960.1430.1410.1160.1510.1870.1560.1210.1600.1430.1070.2380.1950.1330.0790.2400.3320.1330.1120.0930.1710.1110.1070.1160.0970.0580.1530.1010.1300.1010.1090.1130.1390.0170.1190.1740.2480.1200.1600.1230.1320.1150.1060.1030.1570.0740.1960.1870.2000.1580.0680.1500.1510.1490.1390.1570.2400.1560.1210.0920.1290.2610.2640.1630.1810.1760.1470.1000.0490.0830.1030.0770.1780.1410.0280.0950.0190.1210.0360.1280.0570.0860.1210.1610.0970.1870.1720.1100.1270.1020.0680.0540.1750.0890.122
Symptom_Speech_difficulty_communicating_verbally0.0350.3450.2180.2620.1100.3250.3310.3310.2900.1370.2590.2430.1160.6451.0000.5240.5430.5810.3260.4680.1930.0940.1250.1630.1920.1380.0980.1130.2110.1250.0830.1390.0570.0630.1280.1370.1040.1050.1110.1040.1470.1410.1070.1400.1260.1490.1450.1340.1060.0920.1680.1390.1020.1030.1510.1480.0810.0490.1600.1710.1180.1630.1440.1630.1750.1160.1080.0720.0840.1090.1840.1170.1080.0970.1360.1660.1380.1200.1280.1360.1030.2050.1720.1180.0880.2700.3520.1140.0960.0870.1480.1150.0990.0810.0790.0450.1260.0880.1120.1030.1020.0990.1220.0000.1100.1620.2320.1020.1460.1080.0990.0910.0930.0900.1410.0630.1960.1600.1680.1540.0520.1610.1380.1800.1640.1340.2430.1430.1150.0990.1220.2360.2410.1360.1610.1520.1540.1240.0600.0690.1130.0730.1660.1260.0300.0810.0420.1130.0100.1140.0540.0760.1140.1600.0960.1640.1490.0890.1060.0950.0490.0600.1350.0760.124
Symptom_Speech_difficulty_reading_processing_text0.0430.3380.2320.2740.1070.3090.3380.3290.2630.1490.2430.2740.1040.5780.5241.0000.5980.4630.3050.5230.2110.0720.1470.1920.2080.1400.1200.1450.2520.1410.0830.1460.0640.0610.1510.1660.1330.1200.1200.1140.1520.1630.1200.1320.1290.1620.1420.1350.1110.0800.1750.1510.1040.1150.1520.1350.1140.0480.1860.1620.1160.1730.1590.1750.1650.1260.0940.0760.0640.1030.1970.1310.1180.1050.1460.1610.1420.1300.1530.1460.1190.1920.1800.1280.0850.2430.2960.1310.1140.1040.1810.1270.1130.0930.0750.0740.1190.1070.1060.0890.1230.0950.1250.0280.0980.1730.2460.1230.1670.1110.1310.1120.1140.1110.1540.0560.1870.1420.1680.1650.0650.1620.1390.1680.1700.1620.2550.1500.1340.0990.1120.2650.2640.1520.2010.1830.1830.1460.0460.0840.1140.0930.1680.1360.0210.1000.0080.1210.0320.1380.0740.1020.1240.1690.1170.1850.1620.0970.1300.1040.0700.0470.1370.0670.111
Symptom_Speech_difficulty_understanding_others_speech0.0460.3610.2420.2800.1190.3290.3440.3480.2780.1730.2810.2590.0990.5790.5430.5981.0000.4760.3320.4330.2110.0730.1370.1920.2000.1390.1020.1400.2680.1460.0940.1320.0840.0730.1520.1740.1430.1240.1340.1090.1510.1630.1280.1410.1260.1450.1650.1460.1280.0920.1730.1590.1190.1280.1640.1480.1290.0430.1850.1730.1330.1550.1550.1930.1760.1160.1030.0820.0730.1260.2030.1230.1240.1270.1330.1660.1340.1210.1470.1270.1390.2080.1870.1270.0720.2820.3070.1280.1170.0950.1800.1340.1040.1040.1110.0720.1240.0950.1160.1120.1220.1140.1280.0200.1230.1690.2280.1120.1660.1160.1350.1150.1240.1100.1290.0640.2010.1580.1860.1750.0520.1580.1330.2160.2020.1590.2750.1580.1380.1200.1130.2420.2770.1620.1880.1750.1490.1440.0600.0750.1090.0840.1820.1290.0250.0970.0300.1400.0000.1320.0680.0780.1400.1630.1140.1880.1740.1060.1220.1050.0480.0490.1370.0650.112
Symptom_Speech_difficulty_speaking_complete_sentences0.0480.2950.2140.2810.1030.2820.2930.2920.2700.1540.2660.2210.0850.5460.5810.4630.4761.0000.3690.4390.1940.0620.1140.1700.1710.1120.0800.1370.2010.1150.0620.1250.0910.0910.1290.1650.1120.1340.1210.0900.1430.1600.1150.1580.1230.1600.1590.1510.1100.1020.1250.1360.1060.1050.1510.1520.1120.0570.1590.1510.1210.1570.1330.1600.1790.1250.0870.0550.0800.1160.1720.1120.1220.1190.1430.1500.1140.1090.1270.1280.1280.1770.1770.1140.0800.2670.3730.1170.1020.0880.1430.0900.0950.0870.0960.0650.1000.0860.1130.0960.1150.1240.0970.0000.1180.1650.2320.1030.1500.1030.1180.0990.1070.0800.1210.0430.1910.1460.1610.1650.0580.1520.1370.1780.1800.1650.2330.1560.1190.1250.1140.2370.2390.1340.1660.1610.1520.1230.0650.0670.0950.0830.1720.1090.0300.0730.0290.1030.0310.1060.0380.0810.1130.1480.1220.1520.1670.0730.1240.0740.0760.0530.1260.0640.101
Symptom_Speech_speaking_unrecognizable_words0.0240.2060.1630.2260.0590.1640.1710.1720.1560.1210.2290.1230.0650.3160.3260.3050.3320.3691.0000.2980.1100.0180.0720.1070.1120.0910.0600.1080.1440.0770.0490.1150.0610.0530.0880.1270.0910.1150.0990.0810.1230.1430.0750.1180.0920.0940.1280.1150.0970.0700.0900.0940.0750.1010.1660.1510.1510.0440.1430.1250.1220.1150.1090.1410.1300.0880.0700.0460.0900.0810.1380.0640.0890.1000.0970.1190.0790.0980.0880.0990.1120.1160.1340.0910.0540.1890.3360.0820.0650.0800.1020.0780.0770.0670.0770.0820.0690.0580.0830.0760.0730.1040.0770.0000.1200.1220.1620.0690.1020.0990.0960.1160.0960.0570.0910.0130.1500.0920.1140.1410.0420.1510.1200.1510.1260.1370.1470.1020.0950.1020.0880.1620.1710.0870.1240.1100.1290.1070.0860.0620.0820.0690.1430.0780.0180.0400.0330.1000.0200.0800.0180.0520.0960.1390.0870.1300.1400.0720.1060.0530.0340.0440.0640.0210.082
Symptom_Speech_difficulty_communicating_writing0.0310.2780.2090.2750.1180.2400.2660.2670.2080.1340.2240.2000.0960.4460.4680.5230.4330.4390.2981.0000.1840.0860.1080.1420.1610.1200.1020.1130.2040.1100.0960.1360.0640.0580.1290.1360.1250.1050.1000.0870.1410.1480.1040.1270.1180.1500.1390.1080.1310.0790.1360.1380.1130.1030.1510.1440.1140.0510.1550.1630.1360.1630.1450.1570.1460.1170.0920.0460.0800.0960.1600.0990.1210.1040.1400.1360.1310.1240.1060.1470.0950.1540.1750.1060.0820.2240.2620.1150.0960.0870.1500.1020.0940.0680.0570.0550.0880.0730.0870.0810.1040.0980.1090.0300.0850.1380.2000.1070.1440.1310.1430.1000.0960.1080.1360.0650.2010.1260.1250.1260.0610.1550.1240.1770.1600.1490.2000.1390.1200.0950.1050.2240.2230.1400.1490.1520.1470.1260.0590.0760.1300.0780.1420.1150.0250.0840.0400.1080.0000.1400.0630.0770.0970.1450.0830.1520.1540.0990.1270.1000.0740.0620.1250.0490.097
Symptom_Speech_changes_to_secondary_languages0.0210.1310.1380.1070.0660.1060.1220.1260.1000.0330.0670.0850.0790.2270.1930.2110.2110.1940.1100.1841.0000.0250.0400.0460.0700.0630.0380.0220.0880.0410.0660.0560.0230.0330.0630.0520.0510.0600.0560.0750.0440.0500.0360.0390.0570.0470.0720.0000.0520.0600.0860.0560.0470.0450.0600.0740.0510.0240.0610.0460.0450.0620.0580.0350.0580.0460.0340.0180.0380.0250.0520.0410.0220.0410.0670.0520.0420.0460.0470.0830.0650.0560.0230.0470.0220.1140.1280.0240.0250.0210.0450.0410.0170.0330.0520.0750.0440.0310.0500.0460.0620.0840.0600.0110.0420.0600.0700.0350.0430.0640.0610.0480.0670.0400.0510.0200.0630.0380.0400.0490.0000.0420.0460.0660.0690.0750.0830.0560.0310.0450.0330.1040.0990.0410.0480.0650.0400.0420.0230.0460.0210.0240.0440.0430.0000.0460.0250.0730.0000.0360.0420.0180.0280.0370.0460.0620.0560.0370.0340.0430.0290.0480.0470.0120.058
Symptom_Speech_other0.0000.0760.0470.0520.1050.0450.0440.0470.0520.0130.0300.0350.1290.1270.0940.0720.0730.0620.0180.0860.0251.0000.0130.0120.0320.0340.0220.0520.0510.0210.1070.0000.0320.0000.0530.0510.0440.0350.0240.0000.0390.0530.0260.0200.0150.0210.0270.0000.0120.0170.0660.0230.0410.0240.0340.0180.0470.0440.0400.0480.0240.0490.0510.0420.0460.0160.0460.0390.0260.0310.0410.0660.0310.0170.0520.0560.0400.0200.0320.0300.0430.0550.0470.0330.0170.0760.1110.0630.0000.0500.0620.0120.0460.0000.0310.0190.0290.0000.0250.0380.0350.0110.0170.0690.0400.0480.0870.0550.0770.0390.0740.0320.0450.0200.0140.0820.0420.0150.0550.0420.0100.0530.0860.0170.0230.0370.0410.0420.0210.0000.0830.0650.0900.0410.0660.0500.0680.0340.0500.0280.0160.0120.0560.0860.0000.0500.0000.0480.0170.0560.0410.0280.0220.0480.0270.0490.0410.0280.0430.0080.0270.0000.0300.0000.049
Symptom_Headaches_behind_eyes0.0140.1090.0480.0880.0190.1680.1610.1570.0930.1030.0790.1480.0330.1300.1250.1470.1370.1140.0720.1080.0400.0131.0000.3190.2700.1630.3670.2520.2900.2690.0450.1510.0450.0380.0860.0980.0680.1020.0760.0610.1310.1190.1250.1390.1080.1230.1080.0960.0980.0470.1050.1020.0690.1120.0880.0770.0550.0000.1560.1080.0500.1250.1380.1250.1010.1000.0890.0830.0340.0970.1400.0960.1070.0760.1000.1570.1000.0800.1250.0910.0930.1700.1660.0840.0460.1110.1020.1090.1070.0710.1700.1080.1150.0680.0550.0170.0970.1130.0970.0970.0920.0940.1280.0110.0760.1530.1850.0890.0820.0710.1260.0870.0880.0840.1130.0020.1450.1720.1950.1380.0330.1420.0690.1150.0860.1060.1600.1750.1330.0530.1070.1800.2540.1510.3460.1610.0950.0650.0520.0750.1150.0860.1290.1140.0000.0940.0000.0720.0080.0830.0590.0780.0800.1570.0900.1570.1680.0800.1070.0710.0500.0350.0920.0760.089
Symptom_Headaches_stiff_neck0.0270.1520.0890.1230.0360.1960.1720.1900.1230.1310.1170.1890.0340.1710.1630.1920.1920.1700.1070.1420.0460.0120.3191.0000.3080.2370.2410.4100.3090.2610.0790.1920.0190.0300.0980.1290.0880.1130.1190.0770.1760.1760.1540.1870.1680.1530.1410.1510.1170.0890.1470.1290.0900.1330.0870.1140.0940.0340.1960.1700.1080.1900.1970.1890.1840.1150.1030.1040.0690.1380.1720.1200.1710.1150.1300.1720.1180.0860.1450.1370.1200.2120.2350.1120.0790.1450.1500.1510.1490.1050.1850.1200.1570.0880.0890.0590.1030.1460.1530.1370.1210.1100.1690.0030.0830.1650.1960.1000.1280.1010.1400.0950.1230.0840.1300.0260.2110.2310.2480.1860.0480.2160.1200.1520.1130.1630.2010.1980.1650.1000.1110.2040.2400.1890.2310.1800.0960.0700.0420.0930.1340.1060.1340.0890.0110.0760.0160.0980.0200.1160.0410.0700.1350.2200.1540.1850.2000.1010.1260.0820.0700.0350.1120.0750.109
Symptom_Headaches_brain_pressure0.0380.1660.1350.1440.0270.2270.2120.2080.1810.1050.1070.2010.0460.1930.1920.2080.2000.1710.1120.1610.0700.0320.2700.3081.0000.3230.2620.2940.3420.2470.1170.2850.0310.0470.0840.1190.0830.1140.0960.0640.1940.2060.1330.1620.1610.1240.1410.1440.1240.0860.1200.1300.1040.1220.1260.1270.1070.0550.2010.1890.1650.2000.1830.1950.1870.1810.1790.1520.0980.1120.1400.1310.1170.0790.1230.1710.1650.1260.1680.1430.1200.2140.2030.0910.0650.2090.1770.1340.1120.0660.1810.1240.1250.0430.0210.0410.0740.1250.1330.0950.1220.0830.1370.0250.1060.2200.1940.1210.1200.0980.1170.0780.1070.0800.1130.0420.2000.1540.1520.1550.0910.1650.1160.2040.1650.1880.2610.2190.2100.1430.1410.2000.2770.1700.2840.1560.1270.1160.0490.0850.1300.1170.1580.1080.0180.1020.0320.0960.0430.1070.0510.1160.1160.1790.1220.1530.1650.0720.1170.0720.0590.0290.1230.0580.100
Symptom_Headaches_diffuse0.0100.1220.0830.0760.0240.1560.1580.1370.1290.0620.0770.1470.0260.1370.1380.1400.1390.1120.0910.1200.0630.0340.1630.2370.3231.0000.1350.1930.2690.2140.0180.1910.0170.0140.0520.0640.0450.0600.0660.0540.0990.1060.0980.0960.0870.0970.0920.0740.0670.0450.1060.1030.0550.0870.0540.0710.0560.0130.1050.1040.0720.1010.1100.0950.1170.0850.0730.0700.0440.1100.0940.0850.1070.0900.0880.1330.0850.0810.1080.0740.0900.1550.1150.0810.0460.1260.0940.0620.0950.0420.1620.0870.0530.0640.0350.0270.0680.0970.1020.0810.0860.0580.1410.0270.0630.1410.0840.0670.0620.0780.0760.0700.0460.0160.0860.0150.0950.1540.1170.1060.0160.0890.0610.0910.0730.1120.1510.1290.1050.0750.0950.0960.1720.1020.1510.0910.0610.0550.0600.0590.0850.0710.0850.0580.0000.0600.0000.0580.0000.0780.0630.0570.0580.1430.0700.1020.1020.0620.0630.0120.0390.0290.0920.0500.065
Symptom_Headaches_temples0.0120.1050.0530.0720.0000.1360.1270.1150.0910.0850.0470.1160.0160.0900.0980.1200.1020.0800.0600.1020.0380.0220.3670.2410.2620.1351.0000.2360.2710.2450.0320.1510.0190.0340.0680.0750.0780.0820.0530.0460.0920.0850.1140.1180.1050.1220.0980.0710.0740.0410.0980.1100.0940.0960.0410.0420.0400.0000.0990.0670.0440.1040.1020.0900.0990.1040.0980.0750.0630.0800.1050.0740.0910.0540.0750.1080.0890.0670.1100.0640.0560.1420.1170.0720.0270.0790.0640.1160.0850.0520.1420.0900.1090.0440.0300.0210.0730.0870.1200.1010.0870.0530.1280.0000.0610.1260.1180.0700.0520.0510.0630.0450.0620.0390.0720.0080.1040.1310.1240.1040.0250.1110.0630.0840.0640.1140.1320.1540.1110.0790.0910.1260.1790.0910.1800.1070.0800.0570.0000.0460.0760.0750.0950.0590.0000.0770.0000.0340.0130.0240.0120.0640.0690.1510.0750.1070.1180.0620.0830.0410.0320.0270.0860.0640.055
Symptom_Headaches_base_of_skull0.0360.1120.0850.1270.0080.1360.1380.1390.1090.0880.0910.1250.0340.1340.1130.1450.1400.1370.1080.1130.0220.0520.2520.4100.2940.1930.2361.0000.2560.2380.0850.1980.0070.0090.0630.1030.0580.0780.0890.0590.1460.1730.1350.1510.1240.1220.1250.1030.0860.0690.0990.1320.0790.1200.0810.0830.0840.0260.1790.1620.1220.1640.1530.1770.1380.1190.1110.1020.0700.0990.1500.1180.1260.0910.1210.1480.1420.0880.1320.1280.0820.1760.2040.0900.0410.1300.1190.1200.1020.0700.1790.1220.1460.0510.0770.0380.0830.1010.1180.0930.1070.0820.1020.0000.0800.1550.1690.1060.1030.0890.1130.0740.1130.0700.1060.0270.1920.1670.1740.1400.0500.1530.0920.1390.0970.1260.1660.2050.1310.0900.1070.1830.2090.1460.2170.1270.0990.0730.0240.0750.0820.0780.1060.0780.0130.0800.0380.0660.0200.1000.0520.0910.1070.1910.1120.1560.1480.0690.0840.0640.0750.0370.1060.0380.086
Symptom_Headaches_after_mental_exertion0.0450.2040.1320.1610.0360.2450.2470.2520.2050.1470.1380.2210.0400.2040.2110.2520.2680.2010.1440.2040.0880.0510.2900.3090.3420.2690.2710.2561.0000.2530.0810.2300.0370.0230.0970.1060.0820.0960.0810.0500.1480.1440.1420.1440.1470.1570.1480.1360.1320.0750.1440.1520.1140.1310.0820.1000.0970.0420.1560.1550.0880.1570.1460.1490.1700.1040.1030.0990.0920.1260.1840.1180.1330.1150.1120.1590.1500.1070.1310.0910.1210.1880.1760.1050.0620.1810.1630.1190.1020.0880.1680.1080.0930.0730.0570.0460.1120.1190.1130.1040.1360.0830.1340.0000.0960.1900.1620.1200.1240.0830.1100.0720.0910.0770.0910.0260.1720.1800.1710.1500.0210.1240.0920.1510.1210.1650.2560.1590.1380.0950.0890.1790.2880.1470.2220.1360.1100.0900.0390.0540.0970.0920.1430.0960.0140.1220.0000.1230.0220.0880.0720.0880.0890.1680.1010.1520.1590.1070.1080.0730.0390.0170.1730.0670.094
Symptom_Headaches_migraines0.0140.1230.0740.1200.0000.1470.1430.1360.1090.1060.1130.1300.0360.1320.1250.1410.1460.1150.0770.1100.0410.0210.2690.2610.2470.2140.2450.2380.2531.0000.0640.1470.0290.0340.0610.0750.0570.0730.0680.0490.1160.1240.1170.1090.1310.1150.1440.1110.0790.0450.0820.1190.0790.1030.1080.1020.0900.0000.1030.1200.1030.1310.1010.1280.1280.1200.0970.0700.0620.1010.1260.0970.1030.0980.0910.0980.1090.0830.0960.0970.1090.1540.1490.0980.0500.1420.1030.1140.1060.1130.1680.1170.1070.0690.0480.0170.0960.1130.0960.0710.1020.0890.1240.0110.0760.1560.1220.1090.0860.0740.1040.0610.0790.0820.0950.0110.1550.1370.1390.1420.0460.1170.0580.1140.1090.1250.1580.1640.1070.0770.0980.1210.2300.1190.1820.1050.1020.0630.0320.0590.0780.0750.1060.0630.0050.0950.0170.0850.0000.0650.0810.0770.0900.1570.0930.1250.1230.0940.1000.0730.0380.0470.0910.0540.111
Symptom_Headaches_other0.0000.0730.0560.0530.1370.0520.0840.0670.0540.0200.0400.0250.1110.0760.0830.0830.0940.0620.0490.0960.0660.1070.0450.0790.1170.0180.0320.0850.0810.0641.0000.0610.0210.0050.0380.0740.0410.0350.0280.0270.0590.0440.0380.0430.0510.0370.0470.0000.0230.0220.1160.0530.0500.0440.0490.0460.0340.0590.0990.0800.0530.0800.0600.0800.0480.0710.0560.0830.0000.0310.0490.1090.0340.0370.0810.0610.0430.0480.0520.0570.0380.0800.0910.0340.0200.0730.0550.0470.0370.0260.1080.0810.0480.0000.0250.0440.0320.0290.0190.0370.0310.0000.0400.1270.0240.0580.0900.0370.0690.0430.0610.0240.0250.0350.0820.1020.0540.0460.0400.0510.0120.0040.0240.0100.0000.0580.0710.0600.0560.0380.0950.0860.0700.0710.0880.0490.0650.0150.0470.0520.0500.0420.0370.1230.0000.0000.0170.0210.0000.0800.0710.0110.0430.0710.0230.0570.0490.0360.0040.0390.0690.0340.0520.0160.042
Symptom_Headaches_brain_warmth0.0070.1070.1110.1010.0120.1130.0890.1100.1050.1030.0920.1050.0000.0960.1390.1460.1320.1250.1150.1360.0560.0000.1510.1920.2850.1910.1510.1980.2300.1470.0611.0000.0110.0220.0780.1030.0670.1090.0990.0790.1520.1520.1020.1030.1160.0820.1160.1060.0950.0740.0700.1150.0760.0790.1020.1000.0750.0370.1600.1610.1490.1280.1380.1400.1350.1460.1290.0970.1070.0890.1140.0980.0730.0490.1060.1260.1000.1210.0850.1220.1020.1170.1780.0760.0750.1570.1480.0870.0830.0230.1050.0930.1050.0000.0190.0350.0260.1010.0780.0500.1200.0590.0830.0000.0870.1390.1410.0920.0850.0820.1030.0790.0830.0760.0820.0410.1580.0940.0990.1400.0780.1290.0740.1390.1090.1120.1650.1570.1490.1130.0980.1340.1580.0930.1660.1080.1360.0910.0640.0680.1040.0800.1220.0710.0290.0680.0500.0520.0460.0920.0330.0670.0870.1510.1050.0920.1280.0620.0980.0530.0340.0290.0590.0190.086
Symptom_Loss_of_smell0.0000.0980.0450.0670.0160.0630.0610.0560.0470.0700.0780.0660.0000.0840.0570.0640.0840.0910.0610.0640.0230.0320.0450.0190.0310.0170.0190.0070.0370.0290.0210.0111.0000.7200.2350.3020.2830.1750.0670.0650.0080.0290.0280.0440.0410.0380.0420.0510.0370.0370.0130.0310.0000.0430.0430.0410.0430.0000.0390.0280.0000.0460.0090.0300.0000.0170.0350.0070.0170.0600.0450.0000.0800.1140.0230.0430.0000.0000.0000.0000.0090.0390.0380.0040.0080.0730.0590.0000.0450.0760.0310.1150.0240.0730.0680.0120.0000.0140.0840.0950.0000.0670.0370.0000.0750.0000.0590.0000.0450.0520.0240.0400.0340.0000.0060.0180.1020.0560.0680.0870.0000.0000.0290.0540.0310.0420.0030.0230.0200.0380.0210.0570.0510.0340.0270.0220.0440.0230.0310.0240.0130.0160.0430.0020.0000.0000.0030.0350.0280.0000.0040.0140.0410.0150.0190.0580.0480.0090.0660.0000.0000.0140.0240.0180.010
Symptom_Loss_of_taste0.0130.0990.0360.0780.0140.0710.0680.0660.0590.0800.0790.0770.0000.0710.0630.0610.0730.0910.0530.0580.0330.0000.0380.0300.0470.0140.0340.0090.0230.0340.0050.0220.7201.0000.2440.2840.2680.1960.0630.0890.0360.0430.0310.0720.0550.0630.0590.0570.0560.0380.0290.0350.0140.0340.0660.0620.0420.0160.0440.0350.0000.0620.0190.0410.0340.0210.0390.0000.0340.0860.0370.0000.0820.0980.0390.0650.0000.0000.0100.0000.0320.0420.0540.0250.0000.0670.0680.0000.0600.0670.0420.1360.0240.0770.0720.0000.0480.0330.0860.0910.0000.0840.0440.0000.0800.0170.0730.0150.0590.0600.0350.0610.0360.0000.0280.0000.0930.0680.0720.0980.0000.0310.0390.0730.0500.0600.0280.0280.0460.0620.0310.0770.0720.0550.0330.0310.0410.0290.0360.0330.0300.0440.0510.0210.0000.0000.0130.0320.0440.0260.0090.0270.0530.0230.0390.0520.0670.0000.0730.0000.0000.0000.0100.0260.000
Symptom_Altered_taste0.0340.1450.0800.1170.0450.0870.1080.1150.0960.0800.1130.1050.0430.1200.1280.1510.1520.1290.0880.1290.0630.0530.0860.0980.0840.0520.0680.0630.0970.0610.0380.0780.2350.2441.0000.3270.5290.2670.1750.1610.0750.0690.0640.0910.0750.0910.0700.0810.0810.0420.0900.0630.0430.0650.0790.0950.0680.0300.1050.1060.0640.0980.0730.1060.0490.0740.0640.0320.0410.0890.1050.0400.1020.1000.0800.1120.0560.0250.0700.0490.0590.1030.1010.0680.0270.1080.1000.0590.1020.0900.1300.1490.0870.0840.0760.0080.0570.0420.1050.0970.0550.1080.1020.0000.0880.0640.1110.0580.1040.0930.0890.0710.0600.0470.1200.0710.0940.0950.1220.1130.0140.0870.1000.0910.0740.0960.1080.0900.1010.0750.0700.1270.1390.0940.1130.1200.0800.0700.0320.0610.0780.0490.1360.0800.0000.0410.0040.0350.0210.0870.0000.0510.1230.1080.0960.1030.1210.0690.1020.0400.0330.0310.0000.0130.064
Symptom_Phantom_smell0.0430.1640.0860.1500.0160.1140.1230.1200.0860.1000.1550.1030.0360.1570.1370.1660.1740.1650.1270.1360.0520.0510.0980.1290.1190.0640.0750.1030.1060.0750.0740.1030.3020.2840.3271.0000.3810.4390.2580.1490.1130.1110.1020.1300.1200.1060.1050.1150.0990.0670.1050.0960.0570.0900.1340.1380.1330.0450.1590.1330.0850.1310.1120.1440.0710.1050.0990.0490.0670.1180.1400.0480.1110.1150.1140.1340.1000.0990.1000.1110.0600.1200.1650.0750.0520.1370.1400.0800.1220.1130.1330.1230.1220.0820.0810.0140.0560.0830.1340.1060.0840.1080.1060.0000.1030.1130.1610.0880.1380.1190.1430.1170.1160.0580.1510.0610.1370.1280.1590.1810.0230.1170.1080.1150.0960.1270.1410.1370.1150.0950.0820.1590.1470.1160.1330.1410.0990.0910.0300.0680.0710.0750.1720.0750.0000.0600.0000.0860.0350.0950.0330.0770.1280.1480.1150.1680.1640.0810.1100.0640.0240.0520.0280.0250.067
Symptom_Altered_smell0.0290.1210.0810.1240.0420.0830.1000.1000.0580.0920.1160.0750.0300.1000.1040.1330.1430.1120.0910.1250.0510.0440.0680.0880.0830.0450.0780.0580.0820.0570.0410.0670.2830.2680.5290.3811.0000.2880.1970.1510.0720.0620.0520.0860.0740.0860.0700.0620.0870.0450.0680.0560.0370.0530.0890.0790.0770.0300.0840.0900.0580.0590.0600.0890.0430.0440.0380.0260.0430.0680.0920.0450.0730.0670.0740.0800.0550.0170.0630.0450.0440.0860.0800.0370.0140.1050.0990.0620.0680.0780.0990.1130.0680.0530.0620.0230.0190.0320.0940.0830.0390.0880.0740.0050.1070.0730.0930.0610.0930.0970.0680.0580.0560.0440.1000.0510.0920.0850.1060.1010.0240.0750.0700.0880.0880.0930.1000.0840.0840.0920.0810.0920.1210.0670.0920.0890.0660.0630.0240.0510.0550.0730.1130.0630.0000.0450.0000.0550.0270.0740.0020.0540.0930.0940.0790.0750.1180.0670.0970.0490.0330.0200.0000.0000.065
Symptom_Phantom_taste0.0180.1130.0900.1460.0130.0730.0910.0960.0780.1120.1510.0660.0320.0880.1050.1200.1240.1340.1150.1050.0600.0350.1020.1130.1140.0600.0820.0780.0960.0730.0350.1090.1750.1960.2670.4390.2881.0000.1680.1860.1120.1040.0720.1070.1160.0940.1020.1030.1030.0760.0780.0730.0470.0890.1320.1330.1520.0370.1390.1280.0890.1160.1030.1260.0670.1130.0940.0490.0950.1020.1110.0380.0790.0610.1000.0890.0680.0730.0550.1130.0740.0770.1250.0530.0560.1380.1330.0690.0790.1040.1010.0910.1070.0360.0560.0580.0160.0520.1040.0790.0740.0960.0730.0000.1090.1020.1190.0690.1090.1120.1030.0990.1170.0610.1090.0360.1190.0800.1310.1500.0510.0880.0810.1140.1210.1150.1040.1270.1120.1220.0960.1210.1200.0840.1270.1150.0960.1200.0560.0500.0840.0850.1180.0460.0080.0580.0000.0710.0230.0740.0280.0590.1100.1350.1350.1240.1310.0740.1130.0680.0370.0520.0090.0230.061
Symptom_Heightened_smell0.0290.0770.0500.1040.0310.0780.0740.0760.0910.0800.1020.0650.0350.1080.1110.1200.1340.1210.0990.1000.0560.0240.0760.1190.0960.0660.0530.0890.0810.0680.0280.0990.0670.0630.1750.2580.1970.1681.0000.4160.1030.0940.0840.0880.0930.1020.0920.0870.1030.0570.0580.0750.0640.0640.1210.1030.0750.0240.1360.1050.1000.0900.0930.1080.0660.0750.0630.0590.0940.0880.1190.0660.0910.0680.1190.1060.0960.0740.0920.1060.0770.0940.1050.0650.0680.0930.1150.0950.0910.0790.1100.0960.1140.0170.0450.0480.0490.0710.0960.0750.0700.0490.0800.0000.0810.0890.1150.0840.1080.0810.1050.0630.1160.1010.1250.0320.1030.0800.1070.1320.0280.1160.0960.0930.0800.1020.1680.1270.1130.0910.0680.1090.1440.0960.1110.0840.1000.0820.0440.0820.1070.0870.1110.0680.0040.0630.0060.0470.0110.0850.0100.0590.1040.1150.0910.1140.1100.1040.0870.1070.0480.0470.0420.0090.084
Symptom_Heightened_taste0.0160.0890.0640.0960.0000.0670.0730.0760.0680.0780.1180.0550.0330.0840.1040.1140.1090.0900.0810.0870.0750.0000.0610.0770.0640.0540.0460.0590.0500.0490.0270.0790.0650.0890.1610.1490.1510.1860.4161.0000.0810.0740.0560.0770.0700.0930.0790.0600.0790.0290.0350.0630.0400.0270.0950.0970.0580.0050.0960.0990.0990.0730.0820.0920.0570.0510.0750.0170.0390.0640.1060.0530.0720.0460.0750.0710.0640.0690.0540.0760.0550.0730.0800.0430.0630.1070.1060.0610.0640.0810.0900.0830.0680.0000.0430.0500.0330.0390.0730.0570.0330.0510.0440.0000.0910.0570.0800.0620.0760.0600.0820.0400.0750.0830.0700.0260.1000.0740.0990.1270.0070.0790.0600.0890.0770.0940.1180.0980.0890.0980.0620.0830.1030.0600.0780.0690.0580.0760.0380.0380.0770.0360.0740.0440.0090.0630.0050.0360.0320.0650.0000.0520.0810.0860.0800.0780.0990.0700.0640.0790.0340.0580.0310.0180.069
Symptom_Vibrating_sensations0.0150.1180.0680.1140.0460.1240.1310.1230.1190.0920.1120.0950.0380.1490.1470.1520.1510.1430.1230.1410.0440.0390.1310.1760.1940.0990.0920.1460.1480.1160.0590.1520.0080.0360.0750.1130.0720.1120.1030.0811.0000.4910.1570.1560.1830.1670.1420.1750.1160.0970.1560.1270.1010.1310.1260.1200.1270.0790.3240.2800.1810.2100.3400.3330.2150.1360.1260.1070.0920.0920.1570.1450.1210.0800.1440.1780.1920.1380.2120.2250.1210.1950.2430.1310.0830.1650.1930.1180.1340.0880.1560.1240.1540.0670.0500.0560.0990.1520.0960.0490.1980.0970.1000.0240.0770.2050.2220.1310.1380.1380.1640.1310.1160.0930.1220.0670.2870.1560.1810.2020.1100.1880.1340.1660.1340.1790.2010.1700.1560.1180.1150.2200.2030.1520.1580.1510.1500.1010.0470.1000.1390.1240.1500.1130.0290.0950.0550.0850.0260.1310.0580.0870.1130.1570.1400.1500.1700.0810.1140.0910.0410.0500.1280.0340.142
Symptom_Tremors0.0000.1320.1030.1230.0450.1320.1210.1350.1170.0820.1330.0990.0350.1630.1410.1630.1630.1600.1430.1480.0500.0530.1190.1760.2060.1060.0850.1730.1440.1240.0440.1520.0290.0430.0690.1110.0620.1040.0940.0740.4911.0000.2200.1980.1650.1420.1740.1810.1070.1140.0890.1700.1000.1330.1540.1430.1240.0600.2770.2570.1910.2190.2800.2870.2430.1380.1370.0940.1120.1070.1720.1220.1360.0820.1340.1790.2090.1340.1790.2180.1410.2040.2470.1490.0990.1870.2100.1510.1450.1180.1720.1540.1600.0250.0540.0830.0870.1290.0970.0810.1680.1060.0860.0000.0900.1890.2330.1020.1370.1330.1800.1250.1470.0930.1540.0190.3650.1620.1760.1890.0780.1980.1480.1680.1360.1950.2000.1790.1450.1420.1120.2280.2010.1480.1690.1550.1570.1090.0650.1070.1200.1010.1420.0970.0000.0700.0850.1110.0000.1430.0350.0780.1270.1730.1440.1690.1710.0690.1320.0980.0640.0540.1180.0210.146
Symptom_Insomnia0.0000.1390.0720.0810.0000.1470.1520.1440.1000.1040.0750.1840.0330.1400.1070.1200.1280.1150.0750.1040.0360.0260.1250.1540.1330.0980.1140.1350.1420.1170.0380.1020.0280.0310.0640.1020.0520.0720.0840.0560.1570.2201.0000.3190.2660.2320.2180.2220.1530.1870.2010.5490.3800.6430.1020.0870.0740.0220.1740.1750.1130.1490.1580.1540.1540.0830.0820.0570.0680.1240.1670.0990.1770.0900.1370.1570.1780.0990.1430.1120.0850.1740.1620.1090.0660.1320.1140.1430.1280.0680.1540.1450.1380.0710.0810.0510.1050.1030.0940.0710.1020.0940.1210.0240.0830.1450.1820.0900.1100.0850.1010.0580.0790.0790.0930.0270.1790.1530.1780.1380.0660.1350.0980.1280.1270.1700.1500.1270.1120.0720.0890.1840.1380.1410.1520.1390.0850.0570.0240.0660.1110.0590.1200.0820.0250.0640.0260.0780.0260.1020.0190.0840.1150.1740.1220.1500.1210.0820.0990.0840.0390.0410.1500.1020.122
Symptom_Night_sweats0.0070.1570.0900.1280.0180.1580.1540.1450.1040.1300.1000.1510.0180.1520.1400.1320.1410.1580.1180.1270.0390.0200.1390.1870.1620.0960.1180.1510.1440.1090.0430.1030.0440.0720.0910.1300.0860.1070.0880.0770.1560.1980.3191.0000.2100.2610.2550.1950.1690.1310.2990.1840.1540.2480.1280.1110.0970.0550.1970.1600.0890.2000.1690.1600.1710.0930.0760.0740.0630.2090.2000.1350.2130.1360.1570.3300.1480.0760.1410.1590.0910.1710.1720.1010.0770.1560.1270.1330.1590.0960.1710.1480.1630.0780.0770.0760.0890.1160.1380.1100.1220.0880.1470.0080.1050.1460.1820.1090.1150.1140.1450.0910.1430.0750.1410.0470.1900.1840.1900.1710.0720.1730.1230.1440.1290.1760.1740.1470.1340.1240.0700.2020.1780.1550.1610.1580.1010.0550.0210.0830.1290.1120.1460.0850.0530.0860.0230.1040.0430.0920.0550.0920.1260.2070.1670.1880.1670.0870.1140.0810.0420.0390.1320.0760.112
Symptom_Awakened_cannot_breathe0.0350.0960.0630.1220.0280.1480.1240.1330.0890.1080.1170.1340.0180.1150.1260.1290.1260.1230.0920.1180.0570.0150.1080.1680.1610.0870.1050.1240.1470.1310.0510.1160.0410.0550.0750.1200.0740.1160.0930.0700.1830.1650.2660.2101.0000.1630.2130.1660.1340.2620.2630.1640.1020.2140.1150.1080.0880.0370.1730.1790.1430.1730.1770.1920.1630.1000.0970.0630.0900.1270.1350.0940.1550.0750.1340.1570.2010.1450.2050.1840.1090.1550.1760.3170.1220.1590.1300.0890.1250.0940.1450.1280.1490.1190.0920.1050.2460.2510.0940.0670.2250.1700.1450.0000.0910.1310.1400.1180.0930.1000.1520.0870.0920.1050.1100.0000.1830.1220.1550.1680.1190.2270.1520.1480.1240.1650.1510.1370.1260.1240.0640.1560.1610.1310.1430.1270.1060.0670.0390.0870.1070.1120.1130.0550.0290.0800.0100.0760.0500.0740.0290.0820.1090.1630.1130.1410.1590.0910.0960.1030.0270.0240.1340.0490.103
Symptom_Vivid_dreams0.0440.1470.0920.1070.0100.1550.1710.1650.1250.1220.1240.1550.0120.1560.1490.1620.1450.1600.0940.1500.0470.0210.1230.1530.1240.0970.1220.1220.1570.1150.0370.0820.0380.0630.0910.1060.0860.0940.1020.0930.1670.1420.2320.2610.1631.0000.4470.1460.3850.1120.2920.1460.1280.1830.1640.1600.1280.0600.1530.1310.0690.1300.1260.1340.1070.0710.0520.0450.0440.1100.1690.0980.1120.0790.1120.1540.1120.0750.1280.0980.0670.1400.1190.0810.0520.1340.1290.1120.1210.0820.1420.1140.1170.0300.0600.0440.1000.0920.1250.0870.0860.1050.1000.0000.0770.1590.1380.1020.1280.0940.0830.0640.0960.0680.0920.0250.1420.1200.1350.1110.0730.1320.0840.1610.1470.1550.1530.1270.1240.0710.0950.1540.1520.1390.1210.1570.0810.0720.0200.0650.1240.0740.1500.0650.0050.0920.0140.0750.0230.0800.0370.0910.1070.1390.1430.1360.1530.0890.0940.0650.0370.0020.1050.0540.070
Symptom_Nightmares0.0400.1320.1020.1230.0180.1510.1570.1410.1170.1190.1230.1380.0330.1510.1450.1420.1650.1590.1280.1390.0720.0270.1080.1410.1410.0920.0980.1250.1480.1440.0470.1160.0420.0590.0700.1050.0700.1020.0920.0790.1420.1740.2180.2550.2130.4471.0000.1340.3070.1100.2220.1700.1330.1850.1870.1700.1120.0620.1540.1330.1200.1170.1300.1720.1180.0940.0910.0560.0620.1320.1610.0690.1100.0980.1030.1410.1290.0890.1270.1280.1110.1280.1560.1180.0320.1770.1500.1170.1400.0930.1490.1320.1440.0510.0710.0770.0970.1000.1160.0830.1180.1010.1220.0220.0860.1590.1300.1040.1150.1030.1190.0880.0950.0880.1150.0360.1530.1200.1340.1260.0650.1500.0940.1820.1760.1640.1780.1340.1370.0900.0840.1400.1800.1390.1450.1440.0920.0670.0630.0700.1110.0900.1660.0650.0280.0830.0250.0930.0140.1020.0350.1030.0990.1630.1430.1330.1500.0910.1080.0860.0290.0240.0910.0490.078
Symptom_Restless_leg0.0530.1130.0800.1020.0210.1280.1390.1250.0880.1270.1170.1300.0430.1380.1340.1350.1460.1510.1150.1080.0000.0000.0960.1510.1440.0740.0710.1030.1360.1110.0000.1060.0510.0570.0810.1150.0620.1030.0870.0600.1750.1810.2220.1950.1660.1460.1341.0000.1530.1340.1640.1740.1030.1850.1070.1180.1160.0210.1690.1530.1210.1490.1700.1810.1520.0590.0760.0340.0750.0910.1590.0530.0890.0500.0900.1140.1020.0560.1020.1130.1050.1160.1970.0770.0470.1110.1180.0990.0860.0880.1190.0560.1200.0530.0600.0590.0730.0720.0980.0760.0690.1110.0730.0080.1000.1200.1380.0610.1090.0820.0970.0800.1100.0590.1010.0230.2160.1590.1650.1680.0400.1220.1020.1530.1240.1210.1460.1000.0820.0870.0530.1350.1410.1120.1210.1460.0700.0620.0190.0480.0730.0790.1430.0540.0280.0590.0500.0800.0420.0830.0170.0220.0830.1260.1190.1510.1280.0520.1080.0490.0300.0440.0880.0550.076
Symptom_Lucid_dreams0.0470.1160.0820.1080.0230.1320.1050.1320.0750.1250.1230.0990.0070.1050.1060.1110.1280.1100.0970.1310.0520.0120.0980.1170.1240.0670.0740.0860.1320.0790.0230.0950.0370.0560.0810.0990.0870.1030.1030.0790.1160.1070.1530.1690.1340.3850.3070.1531.0000.0860.1740.1110.1010.1190.1430.1740.1050.0820.1140.0910.0850.1030.0940.1200.1010.0550.0530.0490.0510.0560.1050.0710.0640.0600.0960.0910.0800.0570.0710.0760.0610.0990.1000.0430.0430.1280.1030.0940.0840.0730.1010.0700.0810.0180.0550.0410.0540.0600.0920.0540.0590.0840.0480.0210.0960.0920.1010.0590.0840.0820.0690.0540.0950.0380.0790.0090.1230.0770.1100.1130.0540.1100.0740.1550.1180.1210.1090.1030.1050.0830.0780.1260.1340.1190.0930.1150.0630.0340.0320.0730.0930.0560.1360.0480.0420.0510.0230.0840.0190.0560.0000.0580.0890.1050.1250.1080.1320.0460.1010.0390.0310.0160.0430.0140.035
Symptom_Sleep_apnea0.0110.0830.0690.0930.0280.0700.0810.0770.0560.0490.0670.0690.0240.0880.0920.0800.0920.1020.0700.0790.0600.0170.0470.0890.0860.0450.0410.0690.0750.0450.0220.0740.0370.0380.0420.0670.0450.0760.0570.0290.0970.1140.1870.1310.2620.1120.1100.1340.0861.0000.1430.1150.0810.1450.0910.1150.0760.0400.1140.1000.0890.0920.1020.0980.0850.0640.0450.0370.0620.0530.0990.0700.0710.0440.0950.0920.0990.0910.0680.1180.0680.0770.1190.0830.1000.1180.1310.0730.0630.0620.0700.0460.1050.0210.0520.0710.0530.0570.0720.0550.0650.1110.0470.0000.0760.0910.1120.0380.1030.0830.0760.0590.0770.0820.0580.0070.1200.0610.0940.1020.0570.0980.0880.0770.0710.0560.0870.0570.0670.0610.0620.0930.0970.0740.0870.0710.0760.0670.0510.0540.0650.0510.0790.0410.0260.0000.0760.0920.0390.0740.0000.0450.0440.0880.0830.0730.1140.0670.0890.0870.0340.0220.0450.0070.097
Symptom_Sleep_other0.0230.1460.0750.1010.0960.1680.1680.1620.1200.0820.0790.1590.1150.1840.1680.1750.1730.1250.0900.1360.0860.0660.1050.1470.1200.1060.0980.0990.1440.0820.1160.0700.0130.0290.0900.1050.0680.0780.0580.0350.1560.0890.2010.2990.2630.2920.2220.1640.1740.1431.0000.1750.1030.1680.0940.0960.0800.0530.1400.1230.0710.1310.1230.1120.1120.0540.0410.0620.0260.0970.1450.1930.0770.1180.1360.2030.1130.0820.1890.1080.0500.1600.1010.1410.0640.1310.1010.0870.1170.0530.1460.1410.1270.0780.0780.0480.1230.1140.1110.1110.1030.0890.1280.0700.0380.1500.1280.0620.1060.0660.0670.0720.0690.0620.1110.0820.1170.1370.1370.1170.0320.1150.0790.1070.0760.1240.1440.1020.1030.0310.1100.1440.1370.1360.1150.1280.0570.0370.0000.0500.0820.0640.1090.1300.0190.0510.0150.0560.0140.0980.0490.0610.1030.1250.0900.1140.1340.0970.0550.0480.0460.0250.1350.0790.079
Symptom_Difficulty_falling_asleep0.0300.1400.0700.0840.0300.1730.1460.1420.1140.1330.1090.1400.0420.1610.1390.1510.1590.1360.0940.1380.0560.0230.1020.1290.1300.1030.1100.1320.1520.1190.0530.1150.0310.0350.0630.0960.0560.0730.0750.0630.1270.1700.5490.1840.1640.1460.1700.1740.1110.1150.1751.0000.3180.4740.1040.0980.0890.0060.1380.1310.1000.1120.1320.1290.1420.0540.0720.0660.0430.1060.1600.0860.1280.1030.0930.1440.1420.0830.1250.1000.0860.1490.1480.1010.0780.1320.1290.1260.1150.0700.1500.1340.1100.0660.0700.0290.0990.0930.1020.0840.0960.0750.1040.0000.0580.1140.1340.0960.1060.0720.0810.0580.0790.0730.0730.0470.1550.1340.1370.1270.0570.1120.0930.1090.1120.1290.1390.1080.0870.0650.0790.1400.1460.1140.1360.0990.1000.0740.0240.0250.0880.0610.1090.0550.0170.0700.0180.0810.0210.0720.0510.0740.1050.1510.0950.1150.0980.0810.1050.0790.0360.0280.0880.0580.084
Symptom_Waking_up_early0.0180.1070.0880.0600.0320.1090.1150.1040.0960.0890.0740.0980.0180.1040.1020.1040.1190.1060.0750.1130.0470.0410.0690.0900.1040.0550.0940.0790.1140.0790.0500.0760.0000.0140.0430.0570.0370.0470.0640.0400.1010.1000.3800.1540.1020.1280.1330.1030.1010.0810.1030.3181.0000.3870.0680.0580.0810.0240.0910.1020.0670.0880.0770.0790.0770.0810.0640.0420.0530.0650.1280.0850.0830.0390.0770.1000.0880.0630.0860.0730.0520.0870.0650.0470.0410.0860.0880.0690.0770.0270.1070.0980.0810.0450.0370.0340.0660.0580.0820.0860.0840.0430.0750.0000.0720.0740.1120.0790.0740.0740.0830.0510.0520.0540.0670.0410.0780.0740.0860.0640.0460.0850.0590.0890.0960.1260.1210.0940.0780.0630.0770.1230.1260.1010.0980.0830.0750.0780.0220.0480.0840.0510.1000.0940.0220.0460.0330.0640.0160.0730.0170.0640.0990.1010.0980.1040.0980.0420.0700.0620.0290.0120.0750.0390.076
Symptom_Waking_up_in_night0.0160.1500.0670.0800.0170.1410.1490.1420.1040.1140.0660.1590.0000.1350.1030.1150.1280.1050.1010.1030.0450.0240.1120.1330.1220.0870.0960.1200.1310.1030.0440.0790.0430.0340.0650.0900.0530.0890.0640.0270.1310.1330.6430.2480.2140.1830.1850.1850.1190.1450.1680.4740.3871.0000.0930.0710.0790.0160.1420.1390.0900.1290.1310.1300.1160.0620.0700.0500.0500.1180.1430.0950.1460.1000.1190.1530.1410.0940.1290.0750.0850.1580.1520.0820.0450.1120.1080.1290.1170.0610.1450.1360.1300.0800.0690.0210.0880.0960.0860.0830.0930.0670.1140.0240.0600.1370.1470.0740.1130.0740.1050.0520.0630.0700.0920.0360.1420.1300.1560.1160.0420.1050.0810.1100.1070.1370.1320.1090.0950.0500.0680.1470.1220.1270.1390.1290.0680.0620.0180.0610.0920.0540.1120.0630.0220.0650.0150.0800.0390.0910.0000.0750.1170.1560.1040.1360.0890.0760.0830.0670.0320.0280.1180.0720.089
Symptom_Hallucinations_visual0.0180.1300.1010.1810.0190.1150.1160.1090.0990.1070.1590.0820.0310.1530.1510.1520.1640.1510.1660.1510.0600.0340.0880.0870.1260.0540.0410.0810.0820.1080.0490.1020.0430.0660.0790.1340.0890.1320.1210.0950.1260.1540.1020.1280.1150.1640.1870.1070.1430.0910.0940.1040.0680.0931.0000.4050.2430.1430.1410.1480.1260.1130.1060.1430.1090.0820.0750.0460.1030.0980.1050.0710.0880.0680.1390.1050.1030.0980.0760.1300.1280.1240.1280.0890.1090.2210.1810.0840.0760.0970.1120.0960.0640.0270.0480.0770.0600.0590.0800.0620.0770.0810.0450.0000.0950.1060.1740.0680.1110.1160.0960.0790.0900.0840.0990.0400.1550.0870.1160.1210.0490.1240.1040.2020.1880.1160.1570.1040.0970.1120.0850.1710.1720.0930.1110.1340.1660.1030.0850.0500.0880.0650.3010.0870.0240.0690.0500.1010.0200.0790.0000.0540.0970.1190.0790.1210.1090.0600.1200.0720.0520.0590.0490.0160.096
Symptom_Hallucinations_auditory0.0000.1400.1130.1630.0420.1100.1230.1160.0860.1170.1840.0680.0060.1410.1480.1350.1480.1520.1510.1440.0740.0180.0770.1140.1270.0710.0420.0830.1000.1020.0460.1000.0410.0620.0950.1380.0790.1330.1030.0970.1200.1430.0870.1110.1080.1600.1700.1180.1740.1150.0960.0980.0580.0710.4051.0000.2860.1170.1370.1410.1220.1120.1030.1470.1040.0790.0920.0460.0970.1040.1340.0350.0770.0650.1070.0940.0810.0840.0730.1190.1170.1020.1440.0900.0920.2090.1830.0920.0640.0770.1050.0800.0860.0260.0580.0680.0550.0460.1040.0800.0710.1210.0470.0000.1080.1320.1470.0630.1240.1030.1330.0860.1580.0550.1190.0230.1600.0850.1170.1280.0540.1330.0840.2040.1800.1310.1630.1030.1060.1430.1030.1550.1620.1060.0940.1280.1790.1100.0900.0570.0950.0940.2050.0710.0450.0320.0570.1050.0040.0750.0090.0410.1030.1100.1010.1240.1390.0580.1350.0690.0680.0660.0450.0000.083
Symptom_Hallucinations_tactile0.0200.1020.1020.1230.0290.0700.0890.0830.0850.0780.1280.0600.0220.0950.0810.1140.1290.1120.1510.1140.0510.0470.0550.0940.1070.0560.0400.0840.0970.0900.0340.0750.0430.0420.0680.1330.0770.1520.0750.0580.1270.1240.0740.0970.0880.1280.1120.1160.1050.0760.0800.0890.0810.0790.2430.2861.0000.1010.1390.1310.0970.1170.1020.1620.0910.0920.0890.0850.0610.0700.1000.0630.0540.0500.0780.0830.0840.0740.0790.1060.1140.0650.1160.0510.0570.1350.1340.0770.0590.0760.0730.0540.0670.0330.0500.0750.0190.0420.0900.0370.0660.0930.0530.0150.1040.0970.1130.0440.1170.1210.1250.0990.1180.0410.0760.0360.1230.0560.0900.1130.0580.0960.0660.1450.1500.0910.1080.0920.0900.1240.0680.1120.1180.0600.0830.1180.1260.1130.1070.0440.0750.0740.1490.0570.0430.0420.0270.0820.0360.0530.0000.0280.0560.0860.1010.1230.1140.0320.1090.0510.0410.0460.0470.0120.074
Symptom_Hallucinations_other0.0000.0350.0250.0530.0580.0260.0340.0330.0200.0000.0220.0200.0860.0400.0490.0480.0430.0570.0440.0510.0240.0440.0000.0340.0550.0130.0000.0260.0420.0000.0590.0370.0000.0160.0300.0450.0300.0370.0240.0050.0790.0600.0220.0550.0370.0600.0620.0210.0820.0400.0530.0060.0240.0160.1430.1170.1011.0000.0490.0590.0170.0550.0340.0440.0450.0040.0000.0300.0420.0090.0250.0560.0530.0340.0370.0440.0150.0280.0320.0000.0490.0470.0310.0250.0320.0940.0600.0460.0350.0220.0400.0230.0330.0000.0270.0590.0170.0210.0210.0280.0320.0530.0220.0340.0650.0570.0550.0030.0720.0610.0250.0520.0000.0190.0360.0440.0460.0380.0240.0280.0360.0370.0490.0640.0530.0340.0340.0400.0440.0410.0390.0530.0660.0540.0240.0260.0690.0320.0280.0180.0340.0410.0750.0650.0000.0000.0050.0310.0000.0810.0180.0000.0150.0410.0330.0290.0570.0110.0330.0180.0470.0240.0240.0000.036
Symptom_Sensations_skin_burning_no_rash0.0110.1500.0800.1440.0270.1510.1580.1510.1170.1270.1240.1310.0500.1900.1600.1860.1850.1590.1430.1550.0610.0400.1560.1960.2010.1050.0990.1790.1560.1030.0990.1600.0390.0440.1050.1590.0840.1390.1360.0960.3240.2770.1740.1970.1730.1530.1540.1690.1140.1140.1400.1380.0910.1420.1410.1370.1390.0491.0000.4180.1950.2590.4410.3220.2140.1640.1540.1150.0940.1210.1960.1390.1520.0960.1710.2150.1640.1340.1750.2350.1040.1910.3630.1390.1040.1820.1980.1610.1740.0910.1890.1310.1770.0730.0580.0690.0830.1140.1270.0870.1700.0950.1090.0230.1130.2140.2400.1120.1690.1910.2080.1660.1860.1340.2320.1220.2800.1910.2330.2540.0910.2060.1310.1730.1390.1900.2100.1820.1670.1410.1310.2440.2310.2020.2140.1800.1440.0980.0490.1230.1530.1280.1720.1210.0640.0740.0570.1120.0270.1470.0310.0790.1360.2060.1650.3930.2510.1250.1770.1290.0880.0520.1080.0410.135
Symptom_Sensations_numbness_loss_sensation0.0370.1360.0970.1330.0330.1460.1310.1440.1320.0890.1100.1260.0320.1640.1710.1620.1730.1510.1250.1630.0460.0480.1080.1700.1890.1040.0670.1620.1550.1200.0800.1610.0280.0350.1060.1330.0900.1280.1050.0990.2800.2570.1750.1600.1790.1310.1330.1530.0910.1000.1230.1310.1020.1390.1480.1410.1310.0590.4181.0000.2890.2670.4150.2840.2350.1990.1910.1680.1480.0830.1750.1280.1330.0590.1500.1640.1700.1170.1410.2380.1280.2060.3310.1260.1060.1870.2130.1430.1330.1090.1850.1320.1590.0660.0580.0660.0820.1100.1050.0830.1400.0990.0980.0270.1330.1800.2230.1150.1670.1640.1820.1670.1380.0910.1460.0750.2740.1810.2100.1900.1080.1780.1220.1690.1420.1810.1680.1800.1580.1960.1040.2240.1940.1640.1880.1640.1380.1160.0750.1150.1320.1130.1470.1040.0360.0810.0680.1200.0190.1350.0620.0600.1200.2130.1490.1800.1760.0720.1440.1000.0750.0450.1090.0450.122
Symptom_Sensations_numbness_one_sided_weakness0.0000.0870.0900.0940.0370.0910.0740.0780.0800.0770.0960.0670.0310.1150.1180.1160.1330.1210.1220.1360.0450.0240.0500.1080.1650.0720.0440.1220.0880.1030.0530.1490.0000.0000.0640.0850.0580.0890.1000.0990.1810.1910.1130.0890.1430.0690.1200.1210.0850.0890.0710.1000.0670.0900.1260.1220.0970.0170.1950.2891.0000.1920.2100.2060.1920.2680.2100.1060.2080.0700.0880.0750.0640.0320.1050.0920.1210.1150.1170.1710.1300.1280.2210.1160.0930.1590.1840.0990.0790.0790.1120.0660.0880.0370.0260.0460.0620.0930.0600.0250.1150.0520.0670.0060.0870.1350.1740.0820.1230.1210.1290.1220.1170.0790.0930.0430.1840.1060.1270.1430.1110.1270.1080.1410.1150.1440.1470.1220.0940.1930.0870.1680.1480.1070.1420.1240.1460.1050.0840.0830.0860.0890.1320.0620.0350.0900.0630.0980.0200.0920.0430.0510.0910.1330.0550.1100.0960.0300.1070.0820.0390.0510.0630.0220.094
Symptom_Sensations_coldness0.0190.1430.0820.1220.0330.1250.1210.1420.1270.0860.1280.1310.0390.1730.1630.1730.1550.1570.1150.1630.0620.0490.1250.1900.2000.1010.1040.1640.1570.1310.0800.1280.0460.0620.0980.1310.0590.1160.0900.0730.2100.2190.1490.2000.1730.1300.1170.1490.1030.0920.1310.1120.0880.1290.1130.1120.1170.0550.2590.2670.1921.0000.2580.2440.2570.1280.1540.1370.1150.1530.1800.2410.1650.0840.2680.2870.1660.1440.1590.1920.1100.1930.2370.1050.0990.1750.1760.1500.1420.0900.1820.1510.1690.0650.0750.0530.0870.1020.1360.1030.1210.1300.1250.0220.1100.1980.2130.1220.1560.1400.1520.1540.1400.1010.1490.0700.2130.1830.1840.1890.0750.1860.1350.1500.1470.1920.2340.1610.1530.1170.1110.2260.2160.1840.1730.1960.1270.1010.0580.1100.1570.1290.1610.1250.0480.0910.0560.0980.0430.1260.0720.0840.1470.1930.1600.1930.1870.0870.1270.1120.0710.0550.1150.0430.143
Symptom_Sensations_tingling_prickling0.0330.1130.0820.0880.0170.1350.1250.1240.1130.0900.1050.1270.0320.1600.1440.1590.1550.1330.1090.1450.0580.0510.1380.1970.1830.1100.1020.1530.1460.1010.0600.1380.0090.0190.0730.1120.0600.1030.0930.0820.3400.2800.1580.1690.1770.1260.1300.1700.0940.1020.1230.1320.0770.1310.1060.1030.1020.0340.4410.4150.2100.2581.0000.3250.2290.1430.1490.1290.1140.1030.1670.1210.1280.0690.1570.1710.2000.1290.2010.2180.1270.1990.3480.1250.0660.1470.1820.1380.1480.0930.1560.1230.1440.0700.0680.0460.0800.1350.1220.0910.1910.0910.1120.0320.0800.1940.2180.1330.1660.1530.1590.1390.1230.0970.1320.0760.2650.1930.2160.1850.0790.1900.1220.1460.1050.1600.1800.1580.1510.1300.1070.2250.2000.1570.1650.1550.1300.0980.0500.0730.1330.1180.1260.0970.0120.0970.0310.1060.0260.1320.0640.0910.1110.1860.1380.1920.1740.0830.1460.0940.0660.0490.1330.0450.120
Symptom_Sensations_electrical_zaps0.0390.1320.1090.1360.0480.1290.1340.1180.1350.0950.1340.1040.0370.1750.1630.1750.1930.1600.1410.1570.0350.0420.1250.1890.1950.0950.0900.1770.1490.1280.0800.1400.0300.0410.1060.1440.0890.1260.1080.0920.3330.2870.1540.1600.1920.1340.1720.1810.1200.0980.1120.1290.0790.1300.1430.1470.1620.0440.3220.2840.2060.2440.3251.0000.2060.1670.1780.1270.1120.0960.1780.1350.1290.0600.1570.1780.1770.1500.1710.2140.1500.1830.3690.1360.0890.1810.1870.1210.1250.1190.1580.1150.1390.0550.0610.0470.0850.1080.1080.0720.1400.0920.1020.0380.1110.1930.2380.1230.1810.1330.1650.1320.1370.1060.1610.0580.3200.1630.1910.2270.1150.1690.1120.1870.1470.1640.2100.1810.1730.1290.1350.2510.2040.1820.1790.1750.1650.1140.0560.1080.1320.1180.1740.1110.0590.0990.0580.1030.0380.1460.0340.0740.1150.1720.1500.1990.1830.1060.1460.1060.0720.0650.0840.0310.117
Symptom_Sensations_weakness0.0000.1640.1010.1180.0270.1720.1730.1750.1450.0900.1170.1590.0000.1730.1750.1650.1760.1790.1300.1460.0580.0460.1010.1840.1870.1170.0990.1380.1700.1280.0480.1350.0000.0340.0490.0710.0430.0670.0660.0570.2150.2430.1540.1710.1630.1070.1180.1520.1010.0850.1120.1420.0770.1160.1090.1040.0910.0450.2140.2350.1920.2570.2290.2061.0000.0950.1050.0810.0730.0830.1660.1380.1290.0790.1420.1790.1280.0940.1220.1510.1250.2390.2350.1650.0840.2110.2070.1310.1070.0970.1790.1330.0940.0780.0910.0480.1050.1190.1300.0820.1300.0930.1020.0190.1070.1350.1880.0840.1470.1370.1110.1150.1050.0540.0990.0530.2260.2450.2230.1810.0510.1590.0890.1660.1440.1580.1730.1400.1040.1110.1150.1940.2150.1350.1720.1210.1220.0940.0270.0660.1130.1110.1270.0840.0240.0800.0400.1260.0000.1180.0000.0700.1230.1720.1320.1440.1250.0660.1190.0530.0450.0330.1320.0920.121
Symptom_Sensations_facial_pressure_left0.0000.0660.0590.0950.0300.0740.0600.0730.0810.0400.0650.0550.0000.1070.1160.1260.1160.1250.0880.1170.0460.0160.1000.1150.1810.0850.1040.1190.1040.1200.0710.1460.0170.0210.0740.1050.0440.1130.0750.0510.1360.1380.0830.0930.1000.0710.0940.0590.0550.0640.0540.0540.0810.0620.0820.0790.0920.0040.1640.1990.2680.1280.1430.1670.0951.0000.3680.1460.2690.0530.0970.0530.0750.0350.0700.0880.1050.0850.0960.1650.0830.1010.1880.0730.0930.1250.1440.0750.0630.0430.0940.0680.0970.0330.0470.0520.0420.0760.0630.0490.1170.0450.0780.0240.0720.1130.1450.0750.0770.1220.1160.0770.1050.0580.1150.0270.1410.0880.0980.1270.0880.1390.1150.1080.0960.1290.1380.1540.1520.2090.0980.1370.1420.0980.1850.1300.1000.0670.0280.0570.1000.1030.1390.0610.0000.0670.0370.0580.0130.0790.0260.0620.0750.1090.0820.1140.1120.0550.0800.0710.0400.0420.0560.0000.094
Symptom_Sensations_facial_pressure_right0.0200.0590.0580.0600.0000.0720.0540.0690.0630.0590.0840.0520.0000.0970.1080.0940.1030.0870.0700.0920.0340.0460.0890.1030.1790.0730.0980.1110.1030.0970.0560.1290.0350.0390.0640.0990.0380.0940.0630.0750.1260.1370.0820.0760.0970.0520.0910.0760.0530.0450.0410.0720.0640.0700.0750.0920.0890.0000.1540.1910.2100.1540.1490.1780.1050.3681.0000.1570.2370.0510.0930.0740.0670.0290.0770.0880.1060.1080.0800.1400.0760.0930.1740.0670.0670.1160.1460.0830.0680.0460.0810.0810.0760.0170.0510.0630.0290.0620.0780.0720.0880.0320.0730.0000.1100.1280.1410.0600.1010.0900.1230.0770.0900.0630.0930.0000.1450.0860.0850.1190.0670.1200.0960.0920.1040.1090.1300.1390.1440.1340.0890.1380.1430.1050.1670.0950.0910.0810.0480.0590.0740.0980.1150.0630.0240.0740.0230.0790.0220.0780.0000.0510.0850.1130.0770.1080.1110.0720.0910.0660.0310.0570.0420.0190.075
Symptom_Sensations_facial_pressure_other0.0130.0580.0500.0540.0220.0450.0530.0570.0600.0610.0270.0500.0240.0610.0720.0760.0820.0550.0460.0460.0180.0390.0830.1040.1520.0700.0750.1020.0990.0700.0830.0970.0070.0000.0320.0490.0260.0490.0590.0170.1070.0940.0570.0740.0630.0450.0560.0340.0490.0370.0620.0660.0420.0500.0460.0460.0850.0300.1150.1680.1060.1370.1290.1270.0810.1460.1571.0000.0820.0320.0850.0760.0310.0000.0800.0590.0600.0590.0550.0940.0470.1010.1320.0530.0390.0820.1060.0650.0580.0200.0770.0710.0550.0000.0210.0340.0370.0330.0570.0150.0540.0240.0450.0380.0340.0910.1010.0520.0710.0590.0960.0600.0430.0320.0490.0180.0960.0420.0620.0930.0440.0890.0490.0700.0540.0730.1050.1120.1470.1100.0820.0870.1040.0540.1350.0580.0700.0770.0480.0340.0590.0680.0620.0700.0000.0330.0550.0460.0000.0740.0440.0420.0650.0920.0820.0660.0790.0050.0610.0290.0190.0240.0430.0000.079
Symptom_Sensations_facial_paralysis0.0000.0450.0500.0580.0240.0400.0300.0380.0370.0410.0640.0440.0000.0550.0840.0640.0730.0800.0900.0800.0380.0260.0340.0690.0980.0440.0630.0700.0920.0620.0000.1070.0170.0340.0410.0670.0430.0950.0940.0390.0920.1120.0680.0630.0900.0440.0620.0750.0510.0620.0260.0430.0530.0500.1030.0970.0610.0420.0940.1480.2080.1150.1140.1120.0730.2690.2370.0821.0000.0430.0620.0390.0620.0390.0730.0530.0580.0460.0430.1310.1000.0750.1330.0640.0840.1070.1490.0400.0420.0720.0590.0320.0550.0170.0290.0390.0120.0600.0310.0300.0630.0230.0280.0100.0620.0920.1190.0570.0740.0900.0930.1190.0680.0350.0670.0110.1150.0590.0470.0710.1120.1030.0890.0930.0780.0920.0890.0930.0900.1560.0720.1000.0920.0800.0710.0760.0760.0680.0650.0460.0890.0750.0670.0410.0070.0660.0350.0660.0300.0660.0000.0200.0500.0750.0530.0550.0830.0370.0910.0290.0050.0680.0390.0000.050
Symptom_Temp_lability0.0210.1070.0380.1130.0030.1040.1200.1140.0970.0840.0690.1000.0170.1100.1090.1030.1260.1160.0810.0960.0250.0310.0970.1380.1120.1100.0800.0990.1260.1010.0310.0890.0600.0860.0890.1180.0680.1020.0880.0640.0920.1070.1240.2090.1270.1100.1320.0910.0560.0530.0970.1060.0650.1180.0980.1040.0700.0090.1210.0830.0700.1530.1030.0960.0830.0530.0510.0320.0431.0000.1620.0000.5410.3920.1590.3740.1520.0780.1400.0850.0930.1290.1370.1160.0340.1170.1080.1080.1670.1210.1440.1450.0850.1050.0850.0760.1180.1210.0910.0730.1180.1180.1340.0200.0440.0930.1070.1040.0800.0860.1170.0770.0840.0630.1180.0360.1140.1270.1330.1280.0220.1100.0910.1190.0980.1480.1290.1170.1070.0670.0620.1210.1380.0800.1200.0920.0700.0550.0410.0780.0870.0810.0980.0480.0180.0860.0000.0380.0350.0560.0430.0810.0980.1530.1300.1310.1120.0780.0690.0570.0050.0290.1000.0650.076
Symptom_Heat_intolerance0.0300.1510.0920.1310.0180.1610.1760.1730.1350.1120.1410.1450.0360.1960.1840.1970.2030.1720.1380.1600.0520.0410.1400.1720.1400.0940.1050.1500.1840.1260.0490.1140.0450.0370.1050.1400.0920.1110.1190.1060.1570.1720.1670.2000.1350.1690.1610.1590.1050.0990.1450.1600.1280.1430.1050.1340.1000.0250.1960.1750.0880.1800.1670.1780.1660.0970.0930.0850.0620.1621.0000.2150.2720.1720.1800.2900.1950.1360.1490.1550.1170.1870.1860.0950.1120.1470.1470.1570.1230.1030.1790.1320.1550.0520.0850.0390.0820.0760.1270.0950.1030.0990.1160.0000.0910.1620.1810.1190.1610.1070.1460.1040.1480.1340.1390.0400.1990.1550.1710.1850.0780.1700.1070.1290.1250.1860.2360.1520.1600.1190.0820.1980.2440.1750.1490.1610.1300.1010.0440.0770.1210.1030.1610.0890.0150.0970.0000.1040.0100.1260.0600.0960.1660.1890.1620.1870.1770.1300.1500.1460.0750.0260.1250.0530.151
Symptom_Merged_temperature_other_temp_issues0.0060.1090.0660.0730.0880.1070.1150.1230.0840.0420.0730.0980.0830.1430.1170.1310.1230.1120.0640.0990.0410.0660.0960.1200.1310.0850.0740.1180.1180.0970.1090.0980.0000.0000.0400.0480.0450.0380.0660.0530.1450.1220.0990.1350.0940.0980.0690.0530.0710.0700.1930.0860.0850.0950.0710.0350.0630.0560.1390.1280.0750.2410.1210.1350.1380.0530.0740.0760.0390.0000.2151.0000.2150.1120.2770.3570.1330.1000.1500.1170.0900.1650.1330.1050.0700.1150.0940.0920.0970.0670.1280.1230.1280.0600.0630.0300.0810.1090.1110.0990.1080.0540.1130.0820.0450.1180.1400.0850.1200.0960.0800.0840.0700.0770.1170.0820.1230.1130.1250.1080.0710.1280.1000.0760.0660.1320.1550.1110.0970.0530.1130.1340.1520.1180.1330.1080.0910.0630.0060.0460.0870.0670.0790.1510.0100.0650.0160.0480.0160.1250.0730.0530.1180.1370.0930.1220.1050.0710.0680.0880.0620.0000.1010.0530.118
Symptom_Elevated_temp0.0000.0870.0490.0930.0420.1290.1220.1170.1180.0670.0770.1320.0290.1410.1080.1180.1240.1220.0890.1210.0220.0310.1070.1710.1170.1070.0910.1260.1330.1030.0340.0730.0800.0820.1020.1110.0730.0790.0910.0720.1210.1360.1770.2130.1550.1120.1100.0890.0640.0710.0770.1280.0830.1460.0880.0770.0540.0530.1520.1330.0640.1650.1280.1290.1290.0750.0670.0310.0620.5410.2720.2151.0000.4610.2060.4560.2120.0930.1520.1180.1090.1900.1550.1650.0690.1280.1270.1220.1870.1490.1840.1750.1130.1520.1110.0680.1500.1500.1130.1050.1630.1290.1470.0100.0660.0930.1550.1260.0690.1090.1240.0930.0870.0620.1270.0390.1480.1720.1690.1540.0530.1420.1240.1020.0940.1570.1380.1510.1310.0750.0510.1610.1700.1230.1350.1110.0890.0690.0310.0920.1180.0730.0980.0530.0320.1000.0000.0330.0290.0680.0370.0960.1300.1960.1170.1480.1260.0650.0920.0730.0350.0380.1300.0880.095
Symptom_Fever0.0140.0990.0490.0820.0400.1120.0980.0950.0750.0670.0750.1030.0420.1160.0970.1050.1270.1190.1000.1040.0410.0170.0760.1150.0790.0900.0540.0910.1150.0980.0370.0490.1140.0980.1000.1150.0670.0610.0680.0460.0800.0820.0900.1360.0750.0790.0980.0500.0600.0440.1180.1030.0390.1000.0680.0650.0500.0340.0960.0590.0320.0840.0690.0600.0790.0350.0290.0000.0390.3920.1720.1120.4611.0000.1220.3310.1430.0620.1190.0600.1150.1320.1000.1070.0220.1120.1050.0790.1660.1670.1650.1730.0650.1600.1170.0650.1130.1140.0900.0760.0850.1370.1130.0000.0290.0580.1060.0770.0670.0780.0940.0710.0590.0250.0980.0260.1020.1510.1340.1230.0160.0880.0590.0700.0480.0990.0850.0760.0620.0460.0290.1090.0990.0730.0890.0590.0570.0540.0410.0660.0670.0460.0690.0310.0000.0920.0000.0390.0370.0380.0370.0480.0620.1080.0690.1280.0970.0510.0770.0190.0000.0270.1030.0560.050
Symptom_Low_temp0.0020.0950.0740.1220.0670.0980.0840.1040.0970.0450.0990.0850.0680.1510.1360.1460.1330.1430.0970.1400.0670.0520.1000.1300.1230.0880.0750.1210.1120.0910.0810.1060.0230.0390.0800.1140.0740.1000.1190.0750.1440.1340.1370.1570.1340.1120.1030.0900.0960.0950.1360.0930.0770.1190.1390.1070.0780.0370.1710.1500.1050.2680.1570.1570.1420.0700.0770.0800.0730.1590.1800.2770.2060.1221.0000.2800.1610.1880.1520.1720.1130.1430.1780.1130.0970.1610.1270.1340.1420.0950.1760.1490.1310.0600.0680.0620.0730.1030.1560.1030.1220.0930.1380.0460.1240.1380.1980.1010.1400.1320.1420.1460.1140.1090.1420.0710.1650.1180.1390.1490.0730.1290.1480.1010.1040.1740.1750.1550.1210.0830.1000.2030.1770.1300.1410.1250.1330.1100.0560.0980.1230.1360.1390.1270.0640.0580.0200.0520.0000.1320.0480.0810.1390.1750.1360.1550.1620.1050.1290.1110.0620.0550.0780.0320.123
Symptom_Chills_flushing_sweats0.0340.1430.0590.1170.0410.1640.1510.1540.1390.1060.0970.1470.0530.1870.1660.1610.1660.1500.1190.1360.0520.0560.1570.1720.1710.1330.1080.1480.1590.0980.0610.1260.0430.0650.1120.1340.0800.0890.1060.0710.1780.1790.1570.3300.1570.1540.1410.1140.0910.0920.2030.1440.1000.1530.1050.0940.0830.0440.2150.1640.0920.2870.1710.1780.1790.0880.0880.0590.0530.3740.2900.3570.4560.3310.2801.0000.1810.1150.2000.1630.1190.2200.1820.1710.0860.1800.1580.1410.2150.1520.2370.2150.1690.1170.1120.0760.1470.1680.1670.1500.1690.1310.1840.0690.0750.1400.1880.1130.1420.1240.1560.1180.1170.1000.1740.0920.1980.2200.2040.1840.0550.1520.1330.1160.1030.2100.1830.1830.1480.0940.1000.2070.1940.1540.1840.1470.0910.0740.0360.1000.1220.1040.1390.1220.0460.1070.0000.0700.0260.1140.0600.0770.1380.2220.1630.2040.1700.0990.0890.1080.0670.0410.1280.0830.123
Symptom_Tachycardia0.0240.1040.0570.1040.0240.1330.1380.1240.1150.0780.0950.1390.0370.1560.1380.1420.1340.1140.0790.1310.0420.0400.1000.1180.1650.0850.0890.1420.1500.1090.0430.1000.0000.0000.0560.1000.0550.0680.0960.0640.1920.2090.1780.1480.2010.1120.1290.1020.0800.0990.1130.1420.0880.1410.1030.0810.0840.0150.1640.1700.1210.1660.2000.1770.1280.1050.1060.0600.0580.1520.1950.1330.2120.1430.1610.1811.0000.2060.4320.2090.1230.2260.1810.2140.0790.1310.1450.1400.1590.0980.1660.1640.1580.1080.0750.0610.1990.2280.0850.0480.2340.0930.1290.0060.0450.1860.1960.1520.1070.1090.1340.0740.0850.0730.1160.0220.2050.1330.1440.1190.0830.1570.1420.1110.0930.1940.1650.1390.1180.0740.0610.1860.1870.1420.1480.1310.1080.0830.0490.1010.1110.0890.1210.0830.0150.1260.0220.0760.0240.1020.0670.1140.1330.1740.1270.1120.1380.0720.0870.0660.0130.0530.1760.0720.124
Symptom_Bradycardia0.0290.0710.0500.0980.0340.0810.0870.1030.0690.0420.0890.0720.0220.1210.1200.1300.1210.1090.0980.1240.0460.0200.0800.0860.1260.0810.0670.0880.1070.0830.0480.1210.0000.0000.0250.0990.0170.0730.0740.0690.1380.1340.0990.0760.1450.0750.0890.0560.0570.0910.0820.0830.0630.0940.0980.0840.0740.0280.1340.1170.1150.1440.1290.1500.0940.0850.1080.0590.0460.0780.1360.1000.0930.0620.1880.1150.2061.0000.1410.1770.1040.1200.1500.1380.0870.1340.1230.1110.0810.0730.1050.1360.1020.0240.0350.0570.1020.1250.0700.0260.1580.0850.1040.0300.0600.1470.1660.0960.0870.0770.1380.1000.0790.0850.1080.0260.1200.0800.0890.0900.0980.1440.1390.0940.0840.1030.1280.1040.1140.0700.0750.1520.1350.1200.1380.1130.1190.0770.0340.0630.1100.0920.0980.0760.0220.0780.0320.0470.0100.0570.0470.0810.1060.1320.0750.0980.1020.0630.0740.0730.0250.0000.0850.0280.093
Symptom_Heart_palpitations0.0160.1150.0530.0760.0380.1510.1350.1350.1030.0840.0910.1570.0480.1600.1280.1530.1470.1270.0880.1060.0470.0320.1250.1450.1680.1080.1100.1320.1310.0960.0520.0850.0000.0100.0700.1000.0630.0550.0920.0540.2120.1790.1430.1410.2050.1280.1270.1020.0710.0680.1890.1250.0860.1290.0760.0730.0790.0320.1750.1410.1170.1590.2010.1710.1220.0960.0800.0550.0430.1400.1490.1500.1520.1190.1520.2000.4320.1411.0000.1820.1040.2200.1680.2340.0580.1160.1250.1010.1700.0590.1950.1450.1450.0860.0510.0620.2120.2800.0900.0620.2400.0780.1600.0480.0510.1850.1750.1320.0960.0910.1140.0850.0710.0740.1080.0620.1660.1310.1360.1140.0860.1590.1250.1210.1100.1810.1720.1380.1330.0630.1030.1620.1890.1450.1650.1290.0890.0660.0330.0620.1070.0900.1040.1220.0000.0960.0000.0600.0360.0880.0660.1100.1280.1670.1210.1190.1240.0820.0740.0490.0290.0370.1640.0770.112
Symptom_Bulging_veins0.0230.0690.0740.1050.0240.0700.0910.0830.0760.0430.0790.0790.0340.1430.1360.1460.1270.1280.0990.1470.0830.0300.0910.1370.1430.0740.0640.1280.0910.0970.0570.1220.0000.0000.0490.1110.0450.1130.1060.0760.2250.2180.1120.1590.1840.0980.1280.1130.0760.1180.1080.1000.0730.0750.1300.1190.1060.0000.2350.2380.1710.1920.2180.2140.1510.1650.1400.0940.1310.0850.1550.1170.1180.0600.1720.1630.2090.1770.1821.0000.1160.1250.2260.1380.1290.1520.1740.1190.1130.0650.1380.1390.1320.0550.0610.0780.0860.1510.1040.0720.1890.0860.1340.0240.0780.1760.2280.1540.1560.1740.2670.1920.1780.1410.1990.0710.2280.1170.1440.1670.1610.1990.1430.1190.1090.2250.1660.1910.1580.1380.1230.1920.1880.1850.1800.1550.1040.0980.0520.1530.1540.1280.1280.1300.0580.1540.0510.0870.0460.1190.0640.0990.1050.1550.1050.1530.1540.0890.1350.1400.0610.0720.0730.0000.119
Symptom_Fainting0.0250.1050.0730.1210.0340.1020.1190.1160.0990.0430.1000.0900.0320.1070.1030.1190.1390.1280.1120.0950.0650.0430.0930.1200.1200.0900.0560.0820.1210.1090.0380.1020.0090.0320.0590.0600.0440.0740.0770.0550.1210.1410.0850.0910.1090.0670.1110.1050.0610.0680.0500.0860.0520.0850.1280.1170.1140.0490.1040.1280.1300.1100.1270.1500.1250.0830.0760.0470.1000.0930.1170.0900.1090.1150.1130.1190.1230.1040.1040.1161.0000.1840.1400.1250.0880.1910.1740.0930.0890.1430.1400.1210.0780.0410.0540.0820.0730.0830.0700.0240.0970.0830.0620.0000.0710.1060.1330.0600.0900.1000.1100.1110.1010.0940.0930.0190.1330.0770.0950.1220.0750.1100.0830.0960.1240.1130.1080.1060.0810.1290.0530.1450.1570.0800.0980.0810.1240.1100.0700.0620.0900.0730.0960.0450.0260.0660.0110.1000.0000.0580.0230.0480.0880.0940.0540.0920.0870.0630.0800.0750.0480.0310.0780.0340.079
Symptom_Dizziness_vertigo0.0230.1960.0710.1370.0530.2520.2210.2200.1680.1080.1320.2240.0520.2380.2050.1920.2080.1770.1160.1540.0560.0550.1700.2120.2140.1550.1420.1760.1880.1540.0800.1170.0390.0420.1030.1200.0860.0770.0940.0730.1950.2040.1740.1710.1550.1400.1280.1160.0990.0770.1600.1490.0870.1580.1240.1020.0650.0470.1910.2060.1280.1930.1990.1830.2390.1010.0930.1010.0750.1290.1870.1650.1900.1320.1430.2200.2260.1200.2200.1250.1841.0000.2500.2630.0780.2520.2120.1730.2050.1320.2860.2050.1640.1320.0780.0480.1780.1590.1560.1160.1550.1120.1640.0000.1100.2180.2490.1150.1320.1290.1250.1150.1010.0910.1350.0690.1960.2230.2070.1720.0460.1850.1240.1640.1260.1960.2380.1850.1730.0990.1300.2400.2540.1690.1930.1780.1190.0880.0470.0920.1170.0980.1600.1310.0240.0980.0150.0900.0380.1110.0390.0860.1420.2250.1520.1810.1810.0940.1130.0890.0610.0460.1850.1260.130
Symptom_Neuralgia0.0250.1390.0980.1350.0390.1440.1410.1360.1350.0830.1420.1230.0260.1950.1720.1800.1870.1770.1340.1750.0230.0470.1660.2350.2030.1150.1170.2040.1760.1490.0910.1780.0380.0540.1010.1650.0800.1250.1050.0800.2430.2470.1620.1720.1760.1190.1560.1970.1000.1190.1010.1480.0650.1520.1280.1440.1160.0310.3630.3310.2210.2370.3480.3690.2350.1880.1740.1320.1330.1370.1860.1330.1550.1000.1780.1820.1810.1500.1680.2260.1400.2501.0000.1880.1140.2020.2200.1650.1660.1220.2210.1470.1970.0840.0890.0740.0940.1410.1480.0990.1800.1160.1350.0310.1330.1940.2500.1220.1840.1580.1950.1480.1560.1280.1800.0560.3330.2770.3090.3300.0840.1920.1270.1600.1280.1780.2150.2170.1830.1510.1320.2390.2320.1790.2280.1720.1310.1050.0550.1160.1400.1130.1670.1180.0380.0870.0560.1020.0380.1500.0430.0820.1460.2460.1680.2260.1930.1240.1610.1110.0720.0930.1140.0600.148
Symptom_Gasping_air_normal_oxygen0.0140.0960.0460.0910.0510.1370.1320.1320.0910.0600.0880.1250.0230.1330.1180.1280.1270.1140.0910.1060.0470.0330.0840.1120.0910.0810.0720.0900.1050.0980.0340.0760.0040.0250.0680.0750.0370.0530.0650.0430.1310.1490.1090.1010.3170.0810.1180.0770.0430.0830.1410.1010.0470.0820.0890.0900.0510.0250.1390.1260.1160.1050.1250.1360.1650.0730.0670.0530.0640.1160.0950.1050.1650.1070.1130.1710.2140.1380.2340.1380.1250.2630.1881.0000.1130.1980.1780.0810.1400.0740.1590.1330.1500.1600.0940.0910.4680.3280.0860.0520.2840.1880.1480.0410.0510.1150.1240.1010.0670.0790.1180.0870.0890.0810.1040.0430.1510.1600.1730.1170.1040.1760.1490.1000.0800.1610.1170.1050.1030.0770.0610.1400.1260.0990.1320.0950.0830.0480.0380.0650.0650.0790.0980.0570.0150.0870.0000.0510.0480.0810.0460.0740.1120.1410.0810.1150.1240.0840.0750.0580.0270.0380.1860.0760.087
Symptom_New_anaphylaxis0.0000.0340.0710.0740.0100.0470.0500.0430.0390.0310.0710.0260.0000.0790.0880.0850.0720.0800.0540.0820.0220.0170.0460.0790.0650.0460.0270.0410.0620.0500.0200.0750.0080.0000.0270.0520.0140.0560.0680.0630.0830.0990.0660.0770.1220.0520.0320.0470.0430.1000.0640.0780.0410.0450.1090.0920.0570.0320.1040.1060.0930.0990.0660.0890.0840.0930.0670.0390.0840.0340.1120.0700.0690.0220.0970.0860.0790.0870.0580.1290.0880.0780.1140.1131.0000.1510.1160.1160.0590.0620.0850.0630.0990.0380.0400.0360.0690.0610.0750.0660.1070.0550.0610.0000.0750.0870.0910.0750.0790.0920.1100.0700.1190.3440.1190.0110.1210.0510.0570.0910.0800.1380.0990.0760.0590.0820.0910.0850.0920.0890.0770.0760.1040.0910.0910.0610.0890.0910.0500.0790.0880.1000.0680.0690.0240.0650.0550.0640.0170.0850.0470.0470.0710.1000.0710.0990.1020.1670.0670.3340.0680.0330.0380.0000.183
Symptom_Acute_confusion0.0370.2400.1920.2520.0530.2160.2500.2450.2070.1550.2270.1830.0520.2400.2700.2430.2820.2670.1890.2240.1140.0760.1110.1450.2090.1260.0790.1300.1810.1420.0730.1570.0730.0670.1080.1370.1050.1380.0930.1070.1650.1870.1320.1560.1590.1340.1770.1110.1280.1180.1310.1320.0860.1120.2210.2090.1350.0940.1820.1870.1590.1750.1470.1810.2110.1250.1160.0820.1070.1170.1470.1150.1280.1120.1610.1800.1310.1340.1160.1520.1910.2520.2020.1980.1511.0000.3890.1360.1340.1360.1910.1630.1350.0880.1020.0750.1120.1200.1510.1140.1580.1540.1070.0000.1390.1590.2260.1250.1520.1350.1640.1510.1380.1260.1510.0470.2250.1510.1670.1900.0660.1660.1260.2530.2320.1830.1900.1370.1440.1580.1390.2230.2380.1180.1710.1680.1730.1630.0810.0860.1300.0950.2010.0900.0490.1020.0660.1460.0000.1200.0080.1150.1140.1640.1200.1620.1630.1150.1320.1190.0760.0330.0950.0530.120
Symptom_Slurring_words0.0290.2010.1620.2170.0550.1990.2040.2100.2070.1440.2320.1650.0540.3320.3520.2960.3070.3730.3360.2620.1280.1110.1020.1500.1770.0940.0640.1190.1630.1030.0550.1480.0590.0680.1000.1400.0990.1330.1150.1060.1930.2100.1140.1270.1300.1290.1500.1180.1030.1310.1010.1290.0880.1080.1810.1830.1340.0600.1980.2130.1840.1760.1820.1870.2070.1440.1460.1060.1490.1080.1470.0940.1270.1050.1270.1580.1450.1230.1250.1740.1740.2120.2200.1780.1160.3891.0000.1120.0990.1050.1440.1040.1150.0640.0940.0870.1160.1080.1150.0950.1300.1530.0970.0060.1450.1720.2430.1010.1510.1680.1620.1560.1310.1120.1480.0390.2340.1370.1670.1800.0540.1580.1660.2010.1720.1620.1990.1520.1340.1730.1100.2380.2260.1310.1750.1550.2090.1340.0940.0790.1030.1100.1790.1090.0210.0710.0690.1370.0080.1090.0360.0820.1170.1590.1140.1740.1760.0920.1520.1060.0550.0540.0980.0490.101
Symptom_Constipation0.0040.1160.0610.1010.0240.1070.1130.1250.0830.0910.0810.0930.0280.1330.1140.1310.1280.1170.0820.1150.0240.0630.1090.1510.1340.0620.1160.1200.1190.1140.0470.0870.0000.0000.0590.0800.0620.0690.0950.0610.1180.1510.1430.1330.0890.1120.1170.0990.0940.0730.0870.1260.0690.1290.0840.0920.0770.0460.1610.1430.0990.1500.1380.1210.1310.0750.0830.0650.0400.1080.1570.0920.1220.0790.1340.1410.1400.1110.1010.1190.0930.1730.1650.0810.1160.1360.1121.0000.1750.1160.2040.1730.2070.0490.1040.0460.0740.0760.1320.1110.0870.0710.1010.0000.1090.1340.1800.1140.1440.1140.1350.0800.1080.1290.1320.0600.1670.1040.1300.1320.0820.1570.1120.1150.0910.1440.1550.1440.1220.1050.0910.1640.1790.1580.1440.1240.1120.0700.0420.0620.0970.0880.1120.0820.0290.0660.0670.0920.0180.1310.0500.0800.2100.2560.1340.1680.1540.0980.1130.1320.0510.0520.0740.0390.143
Symptom_Diarrhea0.0190.0780.0260.0630.0480.0960.0890.1040.0720.0580.0750.1040.0170.1120.0960.1140.1170.1020.0650.0960.0250.0000.1070.1490.1120.0950.0850.1020.1020.1060.0370.0830.0450.0600.1020.1220.0680.0790.0910.0640.1340.1450.1280.1590.1250.1210.1400.0860.0840.0630.1170.1150.0770.1170.0760.0640.0590.0350.1740.1330.0790.1420.1480.1250.1070.0630.0680.0580.0420.1670.1230.0970.1870.1660.1420.2150.1590.0810.1700.1130.0890.2050.1660.1400.0590.1340.0990.1751.0000.2470.3750.3290.2430.1230.1090.0500.1270.1390.1440.1260.1510.0880.1740.0300.0420.1350.1430.1490.1320.1220.1450.0890.1020.0960.1430.0600.1620.1600.1410.1270.0560.1580.1020.1060.0990.1610.1130.1480.1110.0610.0600.1520.1570.1360.1390.1250.0750.0510.0280.1130.1290.1000.1170.1000.0000.1130.0470.0640.0410.1020.0490.1130.1610.3170.3290.1690.1460.0840.0920.0860.0470.0310.0810.0540.082
Symptom_Vomiting0.0230.0810.0470.0880.0380.0860.0810.0710.0780.0540.0810.0840.0170.0930.0870.1040.0950.0880.0800.0870.0210.0500.0710.1050.0660.0420.0520.0700.0880.1130.0260.0230.0760.0670.0900.1130.0780.1040.0790.0810.0880.1180.0680.0960.0940.0820.0930.0880.0730.0620.0530.0700.0270.0610.0970.0770.0760.0220.0910.1090.0790.0900.0930.1190.0970.0430.0460.0200.0720.1210.1030.0670.1490.1670.0950.1520.0980.0730.0590.0650.1430.1320.1220.0740.0620.1360.1050.1160.2471.0000.3290.2220.1460.1080.0990.0470.0710.0750.1070.0970.0770.1080.1020.0000.0710.0720.1080.0810.1030.1020.0840.0850.0770.0810.1250.0460.1280.1060.1340.1400.0050.0940.0590.0720.0780.1140.0950.0990.1000.0870.0380.1200.1240.0940.1110.0760.0510.0460.0260.0500.0460.0870.0780.0360.0090.0900.0000.0640.0180.0930.0210.0620.1280.1830.1320.1410.1020.0610.1030.0860.0480.0240.0660.0300.066
Symptom_Nausea0.0130.1350.0640.1010.0400.1640.1540.1580.1270.0940.0920.1580.0480.1710.1480.1810.1800.1430.1020.1500.0450.0620.1700.1850.1810.1620.1420.1790.1680.1680.1080.1050.0310.0420.1300.1330.0990.1010.1100.0900.1560.1720.1540.1710.1450.1420.1490.1190.1010.0700.1460.1500.1070.1450.1120.1050.0730.0400.1890.1850.1120.1820.1560.1580.1790.0940.0810.0770.0590.1440.1790.1280.1840.1650.1760.2370.1660.1050.1950.1380.1400.2860.2210.1590.0850.1910.1440.2040.3750.3291.0000.3720.2660.1100.0970.0410.1390.1460.1560.1280.1740.1220.1870.0240.1010.1780.1950.1520.1510.1290.1680.1170.1120.1120.1740.0770.1950.2340.1980.1750.0470.1730.1240.1280.1150.1930.2010.2090.1720.0950.1160.2020.2310.1730.2030.1520.1070.0840.0440.1150.1180.1180.1490.1200.0000.1150.0080.0650.0250.1460.0750.1130.2200.3510.2290.1830.1950.1010.1200.0970.0720.0430.1260.0790.118
Symptom_Loss_of_appetite0.0000.0890.0670.0690.0400.1060.1190.1150.0910.0750.0960.1150.0560.1110.1150.1270.1340.0900.0780.1020.0410.0120.1080.1200.1240.0870.0900.1220.1080.1170.0810.0930.1150.1360.1490.1230.1130.0910.0960.0830.1240.1540.1450.1480.1280.1140.1320.0560.0700.0460.1410.1340.0980.1360.0960.0800.0540.0230.1310.1320.0660.1510.1230.1150.1330.0680.0810.0710.0320.1450.1320.1230.1750.1730.1490.2150.1640.1360.1450.1390.1210.2050.1470.1330.0630.1630.1040.1730.3290.2220.3721.0000.1940.1160.1080.0600.1260.1470.1370.1360.1650.0990.1680.0440.0450.1230.1430.1250.1310.0970.1310.0930.0910.1000.1280.0720.1520.1550.1330.1410.0540.1660.0950.1180.1060.1600.1360.1300.1130.0640.0780.1540.1570.1370.1250.0860.0850.0680.0260.0770.1130.0880.0890.0940.0000.0830.0250.0650.0320.1200.0580.1080.2990.2390.1720.1230.1190.0850.0900.0930.0270.0000.1060.0550.090
Symptom_Acid_reflux0.0210.0770.0460.0740.0450.0700.0710.0880.0550.0680.0690.0850.0230.1070.0990.1130.1040.0950.0770.0940.0170.0460.1150.1570.1250.0530.1090.1460.0930.1070.0480.1050.0240.0240.0870.1220.0680.1070.1140.0680.1540.1600.1380.1630.1490.1170.1440.1200.0810.1050.1270.1100.0810.1300.0640.0860.0670.0330.1770.1590.0880.1690.1440.1390.0940.0970.0760.0550.0550.0850.1550.1280.1130.0650.1310.1690.1580.1020.1450.1320.0780.1640.1970.1500.0990.1350.1150.2070.2430.1460.2660.1941.0000.0840.0860.0570.1190.1350.1290.1070.1830.1050.1640.0340.0920.1560.1500.1200.1530.0920.1470.0970.1250.1100.1350.0340.1800.1140.1280.1290.0780.2410.1280.1040.0870.1480.1630.1520.1480.0760.1050.1470.1410.1580.1510.1550.0730.0530.0540.0930.1100.0820.1400.0920.0260.0590.0380.0750.0410.1300.0460.0760.1880.2990.2130.1360.1590.1060.1140.1150.0700.0340.0960.0390.099
Symptom_Dry_cough0.0000.0990.0490.0520.0360.1050.0930.0940.0790.0330.0700.0870.0260.1160.0810.0930.1040.0870.0670.0680.0330.0000.0680.0880.0430.0640.0440.0510.0730.0690.0000.0000.0730.0770.0840.0820.0530.0360.0170.0000.0670.0250.0710.0780.1190.0300.0510.0530.0180.0210.0780.0660.0450.0800.0270.0260.0330.0000.0730.0660.0370.0650.0700.0550.0780.0330.0170.0000.0170.1050.0520.0600.1520.1600.0600.1170.1080.0240.0860.0550.0410.1320.0840.1600.0380.0880.0640.0490.1230.1080.1100.1160.0841.0000.1770.0770.2730.2040.1700.1250.1700.1680.2230.0140.0500.0570.0760.0630.0580.0730.0690.0700.0760.0220.0650.0030.0960.1310.1200.0900.0080.0880.0920.0210.0260.0780.0640.0830.0590.0240.0170.1050.0850.0900.0730.0880.0380.0110.0000.0480.0540.0660.0640.0600.0000.0630.0000.0300.0200.0360.0340.0580.0510.0720.0590.1140.0970.0450.0580.0100.0130.0200.0960.0900.037
Symptom_Cough_with_mucus0.0020.0820.0660.0730.0370.0710.0750.0790.0680.0660.0670.0620.0080.0970.0790.0750.1110.0960.0770.0570.0520.0310.0550.0890.0210.0350.0300.0770.0570.0480.0250.0190.0680.0720.0760.0810.0620.0560.0450.0430.0500.0540.0810.0770.0920.0600.0710.0600.0550.0520.0780.0700.0370.0690.0480.0580.0500.0270.0580.0580.0260.0750.0680.0610.0910.0470.0510.0210.0290.0850.0850.0630.1110.1170.0680.1120.0750.0350.0510.0610.0540.0780.0890.0940.0400.1020.0940.1040.1090.0990.0970.1080.0860.1771.0000.1760.1390.1230.2160.2300.1260.2100.1450.0320.0760.0590.0910.0460.0910.0740.1050.0700.0640.0310.0770.0450.0940.1110.1110.1130.0220.1050.0880.0570.0310.0990.0620.0820.0760.0410.0710.1000.0980.0980.0660.0960.0470.0460.0120.0410.0810.0730.0700.0690.0140.0370.0250.0650.0200.0740.0270.0460.0550.0830.0910.1120.1180.0830.0990.0310.0420.0110.0250.0380.059
Symptom_Coughing_up_blood0.0000.0460.0680.0700.0250.0440.0560.0480.0420.0220.0490.0170.0490.0580.0450.0740.0720.0650.0820.0550.0750.0190.0170.0590.0410.0270.0210.0380.0460.0170.0440.0350.0120.0000.0080.0140.0230.0580.0480.0500.0560.0830.0510.0760.1050.0440.0770.0590.0410.0710.0480.0290.0340.0210.0770.0680.0750.0590.0690.0660.0460.0530.0460.0470.0480.0520.0630.0340.0390.0760.0390.0300.0680.0650.0620.0760.0610.0570.0620.0780.0820.0480.0740.0910.0360.0750.0870.0460.0500.0470.0410.0600.0570.0770.1761.0000.0680.0790.0780.0690.0810.1380.0640.0330.0680.0520.0660.0390.0610.0480.1110.0990.0480.0430.0720.0270.0660.0270.0570.0650.0350.0800.0580.0790.0690.0750.0420.0820.0770.0750.0470.0750.0480.0340.0720.0670.0630.0440.0600.0390.0760.0760.0480.0350.0000.0460.0480.0260.0120.0410.0000.0520.0280.0440.0450.0560.0440.0520.0610.0580.0100.0270.0340.0000.054
Symptom_Shortness_of_breath0.0240.1030.0190.0670.0350.1420.1420.1290.0950.0600.0580.1370.0350.1530.1260.1190.1240.1000.0690.0880.0440.0290.0970.1030.0740.0680.0730.0830.1120.0960.0320.0260.0000.0480.0570.0560.0190.0160.0490.0330.0990.0870.1050.0890.2460.1000.0970.0730.0540.0530.1230.0990.0660.0880.0600.0550.0190.0170.0830.0820.0620.0870.0800.0850.1050.0420.0290.0370.0120.1180.0820.0810.1500.1130.0730.1470.1990.1020.2120.0860.0730.1780.0940.4680.0690.1120.1160.0740.1270.0710.1390.1260.1190.2730.1390.0681.0000.4050.1110.0830.2780.1890.1750.0120.0390.0920.0970.0810.0440.0440.0920.0530.0600.0560.0950.0310.1090.1470.1300.0940.0790.1500.1360.0550.0500.1420.1000.1000.0930.0560.0420.1190.1220.0910.1090.0890.0520.0330.0220.0460.0650.0570.0870.0570.0000.0720.0000.0320.0240.0630.0360.0740.0900.1000.0540.1150.0990.0780.0640.0410.0180.0000.2130.1100.048
Symptom_Tightness_of_chest0.0390.0620.0220.0590.0000.1210.1020.1050.0900.0480.0690.1300.0320.1010.0880.1070.0950.0860.0580.0730.0310.0000.1130.1460.1250.0970.0870.1010.1190.1130.0290.1010.0140.0330.0420.0830.0320.0520.0710.0390.1520.1290.1030.1160.2510.0920.1000.0720.0600.0570.1140.0930.0580.0960.0590.0460.0420.0210.1140.1100.0930.1020.1350.1080.1190.0760.0620.0330.0600.1210.0760.1090.1500.1140.1030.1680.2280.1250.2800.1510.0830.1590.1410.3280.0610.1200.1080.0760.1390.0750.1460.1470.1350.2040.1230.0790.4051.0000.1210.0930.4330.1800.2170.0360.0390.1080.1130.1120.0590.0600.0960.0590.0610.0570.1190.0330.1390.1790.1320.1340.0800.1840.1510.1090.0790.1490.1100.1290.0970.0570.0480.1320.1370.1010.1420.1020.0680.0470.0270.0610.0820.0770.0850.0410.0000.0890.0000.0390.0330.0560.0420.0950.0870.1660.0630.0950.0860.0800.0580.0460.0000.0380.1800.0840.077
Symptom_Sneezing0.0350.1300.0590.0720.0440.1040.0950.1100.0800.1140.0690.0950.0300.1300.1120.1060.1160.1130.0830.0870.0500.0250.0970.1530.1330.1020.1200.1180.1130.0960.0190.0780.0840.0860.1050.1340.0940.1040.0960.0730.0960.0970.0940.1380.0940.1250.1160.0980.0920.0720.1110.1020.0820.0860.0800.1040.0900.0210.1270.1050.0600.1360.1220.1080.1300.0630.0780.0570.0310.0910.1270.1110.1130.0900.1560.1670.0850.0700.0900.1040.0700.1560.1480.0860.0750.1510.1150.1320.1440.1070.1560.1370.1290.1700.2160.0780.1110.1211.0000.4880.1400.1820.2560.0360.1180.1310.1350.0860.1310.1210.1200.0950.1360.0700.1340.0310.1270.1430.1560.1600.0400.1470.1100.0830.0830.1270.1070.1820.1680.0880.1000.1450.1460.1330.1420.1320.0900.0850.0450.0960.1250.1070.1270.0960.0200.0750.0280.0740.0000.0940.0340.0630.1240.1700.1230.1660.1940.1020.1160.0780.0660.0140.0490.0570.071
Symptom_Runny_nose0.0240.1090.0510.0640.0410.0900.0820.1130.0800.0950.0730.0760.0320.1010.1030.0890.1120.0960.0760.0810.0460.0380.0970.1370.0950.0810.1010.0930.1040.0710.0370.0500.0950.0910.0970.1060.0830.0790.0750.0570.0490.0810.0710.1100.0670.0870.0830.0760.0540.0550.1110.0840.0860.0830.0620.0800.0370.0280.0870.0830.0250.1030.0910.0720.0820.0490.0720.0150.0300.0730.0950.0990.1050.0760.1030.1500.0480.0260.0620.0720.0240.1160.0990.0520.0660.1140.0950.1110.1260.0970.1280.1360.1070.1250.2300.0690.0830.0930.4881.0000.1090.1670.2610.0190.0910.0940.1050.0700.1230.0830.0830.0700.0890.0370.1090.0260.1170.1190.1260.1130.0240.1040.0680.0620.0490.0860.0960.1200.1310.0480.0750.1280.1340.0780.1140.1040.0630.0530.0330.0560.1100.0530.1030.0900.0240.0380.0280.0680.0000.0940.0340.0560.0910.1090.0880.1180.1320.0860.0740.0500.0550.0330.0390.0480.068
Symptom_Pain_burning_chest0.0210.0560.0470.0680.0240.0880.0850.1000.0790.0410.0770.0980.0170.1090.1020.1230.1220.1150.0730.1040.0620.0350.0920.1210.1220.0860.0870.1070.1360.1020.0310.1200.0000.0000.0550.0840.0390.0740.0700.0330.1980.1680.1020.1220.2250.0860.1180.0690.0590.0650.1030.0960.0840.0930.0770.0710.0660.0320.1700.1400.1150.1210.1910.1400.1300.1170.0880.0540.0630.1180.1030.1080.1630.0850.1220.1690.2340.1580.2400.1890.0970.1550.1800.2840.1070.1580.1300.0870.1510.0770.1740.1650.1830.1700.1260.0810.2780.4330.1400.1091.0000.1590.2200.0120.0600.1550.1440.1470.0780.0910.1370.1120.0900.0780.1430.0370.1550.1680.1480.1530.0980.2020.1630.0860.0710.1730.1410.1470.1160.0750.0800.1530.1410.1190.1520.1040.0840.0680.0320.0970.0920.0980.1110.0640.0180.0930.0240.0510.0190.0900.0680.1150.1090.2170.1000.1180.1120.0740.0770.0740.0190.0450.1470.0400.100
Symptom_Rattling_breath0.0160.1090.0970.0860.0380.0970.1030.1160.0720.0760.1320.0890.0490.1130.0990.0950.1140.1240.1040.0980.0840.0110.0940.1100.0830.0580.0530.0820.0830.0890.0000.0590.0670.0840.1080.1080.0880.0960.0490.0510.0970.1060.0940.0880.1700.1050.1010.1110.0840.1110.0890.0750.0430.0670.0810.1210.0930.0530.0950.0990.0520.1300.0910.0920.0930.0450.0320.0240.0230.1180.0990.0540.1290.1370.0930.1310.0930.0850.0780.0860.0830.1120.1160.1880.0550.1540.1530.0710.0880.1080.1220.0990.1050.1680.2100.1380.1890.1800.1820.1670.1591.0000.1560.0110.0830.0840.1000.0720.1400.0790.1170.1000.1060.0530.1080.0000.1720.1340.1550.1680.0330.1310.1470.1080.0940.1040.1000.0910.1070.0780.0540.1290.1080.0770.1030.1150.0950.0690.0430.0730.0850.0950.1230.0480.0260.0250.0220.0890.0340.0840.0200.0620.0570.1010.0930.1430.1530.1060.1110.0390.0290.0320.0800.0290.067
Symptom_Sore_throat0.0150.0750.0360.0550.0260.0960.0920.0950.0680.0640.0580.1160.0350.1390.1220.1250.1280.0970.0770.1090.0600.0170.1280.1690.1370.1410.1280.1020.1340.1240.0400.0830.0370.0440.1020.1060.0740.0730.0800.0440.1000.0860.1210.1470.1450.1000.1220.0730.0480.0470.1280.1040.0750.1140.0450.0470.0530.0220.1090.0980.0670.1250.1120.1020.1020.0780.0730.0450.0280.1340.1160.1130.1470.1130.1380.1840.1290.1040.1600.1340.0620.1640.1350.1480.0610.1070.0970.1010.1740.1020.1870.1680.1640.2230.1450.0640.1750.2170.2560.2610.2200.1561.0000.0190.0500.1310.1110.1330.0950.1010.1200.0710.0720.0830.1380.0540.1420.1960.1580.1230.0480.2150.1460.0630.0820.1450.1480.1970.1560.0620.0850.1240.1640.1370.1520.1090.0550.0400.0070.1060.1230.0790.1030.1050.0260.0870.0000.0440.0130.0930.0620.0910.0780.1860.0950.1290.1370.0770.0890.0720.0330.0310.1000.0710.087
Symptom_Respiratory_other0.0000.0000.0070.0000.0960.0000.0000.0130.0000.0140.0000.0000.1050.0170.0000.0280.0200.0000.0000.0300.0110.0690.0110.0030.0250.0270.0000.0000.0000.0110.1270.0000.0000.0000.0000.0000.0050.0000.0000.0000.0240.0000.0240.0080.0000.0000.0220.0080.0210.0000.0700.0000.0000.0240.0000.0000.0150.0340.0230.0270.0060.0220.0320.0380.0190.0240.0000.0380.0100.0200.0000.0820.0100.0000.0460.0690.0060.0300.0480.0240.0000.0000.0310.0410.0000.0000.0060.0000.0300.0000.0240.0440.0340.0140.0320.0330.0120.0360.0360.0190.0120.0110.0191.0000.0180.0000.0110.0090.0350.0170.0360.0400.0000.0110.0320.1210.0000.0140.0240.0290.0270.0560.0820.0000.0000.0340.0140.0200.0410.0000.0550.0000.0240.0230.0340.0310.0280.0160.0090.0180.0200.0320.0170.1010.0000.0000.0000.0010.0000.0640.0560.0000.0000.0070.0180.0090.0150.0260.0530.0170.0670.0090.0080.0000.023
Symptom_Hearing_loss0.0350.1140.1090.1290.0290.0830.0810.0970.0650.0600.1020.0530.0140.1190.1100.0980.1230.1180.1200.0850.0420.0400.0760.0830.1060.0630.0610.0800.0960.0760.0240.0870.0750.0800.0880.1030.1070.1090.0810.0910.0770.0900.0830.1050.0910.0770.0860.1000.0960.0760.0380.0580.0720.0600.0950.1080.1040.0650.1130.1330.0870.1100.0800.1110.1070.0720.1100.0340.0620.0440.0910.0450.0660.0290.1240.0750.0450.0600.0510.0780.0710.1100.1330.0510.0750.1390.1450.1090.0420.0710.1010.0450.0920.0500.0760.0680.0390.0390.1180.0910.0600.0830.0500.0181.0000.2170.1700.0310.1250.1190.1220.1050.1030.0600.0990.0120.1360.0660.1330.1400.0600.1050.1050.1120.0990.0980.1700.2350.2490.2130.2440.1400.1380.0950.0910.1320.1130.0720.0570.0420.0790.0900.1330.0650.0380.0000.0370.0670.0240.0850.0080.0180.0870.1030.0760.1280.1480.0810.1400.0850.0810.0610.0180.0000.091
Symptom_Tinnitus0.0160.1330.0810.1120.0310.1350.1370.1540.1160.0670.1160.1350.0380.1740.1620.1730.1690.1650.1220.1380.0600.0480.1530.1650.2200.1410.1260.1550.1900.1560.0580.1390.0000.0170.0640.1130.0730.1020.0890.0570.2050.1890.1450.1460.1310.1590.1590.1200.0920.0910.1500.1140.0740.1370.1060.1320.0970.0570.2140.1800.1350.1980.1940.1930.1350.1130.1280.0910.0920.0930.1620.1180.0930.0580.1380.1400.1860.1470.1850.1760.1060.2180.1940.1150.0870.1590.1720.1340.1350.0720.1780.1230.1560.0570.0590.0520.0920.1080.1310.0940.1550.0840.1310.0000.2171.0000.2420.0990.1550.1140.1670.1050.1090.1170.1300.0510.2010.1300.1580.1440.1000.1810.1340.1200.1070.1680.2890.2440.2780.1410.2730.2220.2150.1770.1890.2230.1250.0970.0470.1030.1510.1300.1760.1170.0330.0490.0880.0990.0160.1120.0210.0710.1230.1850.1470.1510.1720.0820.1180.1170.0500.0550.1190.0390.132
Symptom_Eye_vision_symptoms0.0000.2060.1500.1480.0580.1960.1850.1950.1550.1090.1400.1670.0510.2480.2320.2460.2280.2320.1620.2000.0700.0870.1850.1960.1940.0840.1180.1690.1620.1220.0900.1410.0590.0730.1110.1610.0930.1190.1150.0800.2220.2330.1820.1820.1400.1380.1300.1380.1010.1120.1280.1340.1120.1470.1740.1470.1130.0550.2400.2230.1740.2130.2180.2380.1880.1450.1410.1010.1190.1070.1810.1400.1550.1060.1980.1880.1960.1660.1750.2280.1330.2490.2500.1240.0910.2260.2430.1800.1430.1080.1950.1430.1500.0760.0910.0660.0970.1130.1350.1050.1440.1000.1110.0110.1700.2421.0000.1300.2280.1690.1780.1370.1380.1220.1900.0590.2600.1650.2110.2020.0980.1860.1610.1960.1620.2030.2520.1980.1660.1250.1930.6830.3570.2510.2940.3140.3030.1670.1160.1680.1910.1490.2620.2280.0310.0770.0530.0910.0300.1540.0500.0940.1610.2060.1580.2100.2480.0940.1880.1260.0700.0640.1190.0610.148
Symptom_Reproductive_all_menstrual_issues0.0110.0770.0620.0730.0270.1010.0720.0840.0830.0810.0790.0830.0380.1200.1020.1230.1120.1030.0690.1070.0350.0550.0890.1000.1210.0670.0700.1060.1200.1090.0370.0920.0000.0150.0580.0880.0610.0690.0840.0620.1310.1020.0900.1090.1180.1020.1040.0610.0590.0380.0620.0960.0790.0740.0680.0630.0440.0030.1120.1150.0820.1220.1330.1230.0840.0750.0600.0520.0570.1040.1190.0850.1260.0770.1010.1130.1520.0960.1320.1540.0600.1150.1220.1010.0750.1250.1010.1140.1490.0810.1520.1250.1200.0630.0460.0390.0810.1120.0860.0700.1470.0720.1330.0090.0310.0990.1301.0000.1150.1190.1060.0840.0720.1260.1330.0370.1130.0940.0880.0690.0780.1230.0720.1160.0920.1440.1400.1220.1010.0390.0430.1180.1630.0900.1350.0840.0680.0710.0440.0850.0820.0580.0740.0840.1090.4890.0670.0580.1040.0990.4100.5990.1040.1630.0900.0870.0850.1000.0780.1300.0380.0500.0670.0180.100
Symptom_Bladder_control0.0000.1470.1150.1270.0750.1040.1130.1250.0940.0900.1020.1020.0530.1600.1460.1670.1660.1500.1020.1440.0430.0770.0820.1280.1200.0620.0520.1030.1240.0860.0690.0850.0450.0590.1040.1380.0930.1090.1080.0760.1380.1370.1100.1150.0930.1280.1150.1090.0840.1030.1060.1060.0740.1130.1110.1240.1170.0720.1690.1670.1230.1560.1660.1810.1470.0770.1010.0710.0740.0800.1610.1200.0690.0670.1400.1420.1070.0870.0960.1560.0900.1320.1840.0670.0790.1520.1510.1440.1320.1030.1510.1310.1530.0580.0910.0610.0440.0590.1310.1230.0780.1400.0950.0350.1250.1550.2280.1151.0000.1290.1450.1330.1470.1090.1250.0800.1930.1080.1440.1610.0700.1620.1070.1150.1180.1540.1640.1230.1190.0870.1340.2140.1920.1530.1350.1590.1540.0990.0770.0910.1240.1160.1360.1410.0460.0650.0390.1310.0390.4850.0510.0760.1370.1800.1550.1610.1730.0860.1410.1140.1090.0360.0770.0400.103
Symptom_Peeling_skin0.0380.0860.0910.0900.0350.0890.0780.0870.0600.0690.0830.0860.0300.1230.1080.1110.1160.1030.0990.1310.0640.0390.0710.1010.0980.0780.0510.0890.0830.0740.0430.0820.0520.0600.0930.1190.0970.1120.0810.0600.1380.1330.0850.1140.1000.0940.1030.0820.0820.0830.0660.0720.0740.0740.1160.1030.1210.0610.1910.1640.1210.1400.1530.1330.1370.1220.0900.0590.0900.0860.1070.0960.1090.0780.1320.1240.1090.0770.0910.1740.1000.1290.1580.0790.0920.1350.1680.1140.1220.1020.1290.0970.0920.0730.0740.0480.0440.0600.1210.0830.0910.0790.1010.0170.1190.1140.1690.1190.1291.0000.2270.2020.1620.0930.2350.0400.1670.1000.1160.1370.0620.1240.1210.1000.0930.1350.1230.1370.1030.1010.0840.1480.1370.1250.1230.1190.1180.1040.0750.1160.1290.1190.1260.0810.0400.0960.0320.0760.0430.0820.0400.0940.1040.1440.1000.2420.1760.0920.1650.0960.0910.0490.0590.0290.086
Symptom_Petechiae0.0000.1130.0680.1070.0380.0890.0860.0910.0730.0790.0770.0810.0460.1320.0990.1310.1350.1180.0960.1430.0610.0740.1260.1400.1170.0760.0630.1130.1100.1040.0610.1030.0240.0350.0890.1430.0680.1030.1050.0820.1640.1800.1010.1450.1520.0830.1190.0970.0690.0760.0670.0810.0830.1050.0960.1330.1250.0250.2080.1820.1290.1520.1590.1650.1110.1160.1230.0960.0930.1170.1460.0800.1240.0940.1420.1560.1340.1380.1140.2670.1100.1250.1950.1180.1100.1640.1620.1350.1450.0840.1680.1310.1470.0690.1050.1110.0920.0960.1200.0830.1370.1170.1200.0360.1220.1670.1780.1060.1450.2271.0000.2060.2430.1590.2700.0410.1930.1140.1490.1820.0910.1810.1340.1310.0950.1510.1520.1680.1520.1360.1170.1800.1690.1460.1670.1630.1210.0710.0650.1230.1460.1530.1440.1040.0270.0880.0500.0670.0430.1350.0350.0850.1120.1730.1210.2400.1980.1200.1930.1300.0800.0730.0750.0280.107
Symptom_Covid_toes0.0000.0890.0590.0930.0370.0680.0820.0910.0820.0450.0840.0440.0300.1150.0910.1120.1150.0990.1160.1000.0480.0320.0870.0950.0780.0700.0450.0740.0720.0610.0240.0790.0400.0610.0710.1170.0580.0990.0630.0400.1310.1250.0580.0910.0870.0640.0880.0800.0540.0590.0720.0580.0510.0520.0790.0860.0990.0520.1660.1670.1220.1540.1390.1320.1150.0770.0770.0600.1190.0770.1040.0840.0930.0710.1460.1180.0740.1000.0850.1920.1110.1150.1480.0870.0700.1510.1560.0800.0890.0850.1170.0930.0970.0700.0700.0990.0530.0590.0950.0700.1120.1000.0710.0400.1050.1050.1370.0840.1330.2020.2061.0000.1760.0820.1510.0150.1390.1110.1330.1320.0430.1290.0950.0850.0840.1210.0970.1030.0870.1020.0780.1360.1350.0970.1060.1130.1060.0940.0590.1040.1220.0950.0920.0910.0250.0700.0520.0640.0000.1100.0310.0630.0720.1210.0730.1320.1450.0680.1680.0790.0640.0230.0600.0230.055
Symptom_Dermatographia0.0000.1000.0750.0780.0400.0860.0770.0720.0730.0770.0990.0670.0090.1060.0930.1140.1240.1070.0960.0960.0670.0450.0880.1230.1070.0460.0620.1130.0910.0790.0250.0830.0340.0360.0600.1160.0560.1170.1160.0750.1160.1470.0790.1430.0920.0960.0950.1100.0950.0770.0690.0790.0520.0630.0900.1580.1180.0000.1860.1380.1170.1400.1230.1370.1050.1050.0900.0430.0680.0840.1480.0700.0870.0590.1140.1170.0850.0790.0710.1780.1010.1010.1560.0890.1190.1380.1310.1080.1020.0770.1120.0910.1250.0760.0640.0480.0600.0610.1360.0890.0900.1060.0720.0000.1030.1090.1380.0720.1470.1620.2430.1761.0000.1750.2290.0050.1810.0920.1330.1760.0830.1200.1360.0990.1170.1450.1480.1430.1270.1390.0910.1530.1540.1120.1300.1380.1210.0970.0510.0830.1010.1170.1400.0580.0270.0360.0530.1120.0000.0970.0340.0620.1030.1320.1180.2520.1870.1500.1570.1460.1030.0090.0500.0200.108
Symptom_New_allergies0.0000.0730.0900.0950.0110.0660.0790.0710.0540.0630.0740.0650.0120.1030.0900.1110.1100.0800.0570.1080.0400.0200.0840.0840.0800.0160.0390.0700.0770.0820.0350.0760.0000.0000.0470.0580.0440.0610.1010.0830.0930.0930.0790.0750.1050.0680.0880.0590.0380.0820.0620.0730.0540.0700.0840.0550.0410.0190.1340.0910.0790.1010.0970.1060.0540.0580.0630.0320.0350.0630.1340.0770.0620.0250.1090.1000.0730.0850.0740.1410.0940.0910.1280.0810.3440.1260.1120.1290.0960.0810.1120.1000.1100.0220.0310.0430.0560.0570.0700.0370.0780.0530.0830.0110.0600.1170.1220.1260.1090.0930.1590.0820.1751.0000.1640.0070.1150.0530.0760.0900.0820.1310.0950.0840.0810.1200.1440.1030.1000.0820.0670.1110.1230.1130.1000.0960.1030.0680.0450.0770.0910.0840.0800.0580.0320.0960.0380.0750.0290.1100.0630.0830.0920.1420.1000.1610.1560.3280.0850.7840.0830.0030.0480.0070.232
Symptom_Skin_rashes0.0170.0940.0650.1000.0480.0950.1170.0950.0690.0690.0960.0850.0480.1570.1410.1540.1290.1210.0910.1360.0510.0140.1130.1300.1130.0860.0720.1060.0910.0950.0820.0820.0060.0280.1200.1510.1000.1090.1250.0700.1220.1540.0930.1410.1100.0920.1150.1010.0790.0580.1110.0730.0670.0920.0990.1190.0760.0360.2320.1460.0930.1490.1320.1610.0990.1150.0930.0490.0670.1180.1390.1170.1270.0980.1420.1740.1160.1080.1080.1990.0930.1350.1800.1040.1190.1510.1480.1320.1430.1250.1740.1280.1350.0650.0770.0720.0950.1190.1340.1090.1430.1080.1380.0320.0990.1300.1900.1330.1250.2350.2700.1510.2290.1641.0000.0580.1700.1420.1650.1490.0410.1410.1190.0840.0760.1580.1490.1550.1290.0840.1230.1850.1690.1440.1510.1540.1260.0450.0370.1350.1330.1250.1160.1400.0380.0980.0310.0830.0240.1250.0680.0910.0850.1850.1160.4010.2090.1810.1600.1570.1640.0890.0650.0290.128
Symptom_Skin_Allergy_other0.0000.0650.0430.0610.0700.0350.0520.0470.0210.0010.0000.0320.0770.0740.0630.0560.0640.0430.0130.0650.0200.0820.0020.0260.0420.0150.0080.0270.0260.0110.1020.0410.0180.0000.0710.0610.0510.0360.0320.0260.0670.0190.0270.0470.0000.0250.0360.0230.0090.0070.0820.0470.0410.0360.0400.0230.0360.0440.1220.0750.0430.0700.0760.0580.0530.0270.0000.0180.0110.0360.0400.0820.0390.0260.0710.0920.0220.0260.0620.0710.0190.0690.0560.0430.0110.0470.0390.0600.0600.0460.0770.0720.0340.0030.0450.0270.0310.0330.0310.0260.0370.0000.0540.1210.0120.0510.0590.0370.0800.0400.0410.0150.0050.0070.0581.0000.0550.0430.0530.0470.0060.0530.0360.0120.0330.0360.0570.0380.0560.0000.1100.0400.0800.0700.0570.0660.0190.0000.0110.0280.0690.0540.0240.1260.0110.0380.0160.0370.0080.0760.0460.0200.0590.0600.0330.1210.0680.0480.0640.0230.0980.0880.0120.0160.049
Symptom_Muscle_spasms0.0380.1520.1110.1370.0440.1650.1410.1490.1490.1140.1760.1250.0520.1960.1960.1870.2010.1910.1500.2010.0630.0420.1450.2110.2000.0950.1040.1920.1720.1550.0540.1580.1020.0930.0940.1370.0920.1190.1030.1000.2870.3650.1790.1900.1830.1420.1530.2160.1230.1200.1170.1550.0780.1420.1550.1600.1230.0460.2800.2740.1840.2130.2650.3200.2260.1410.1450.0960.1150.1140.1990.1230.1480.1020.1650.1980.2050.1200.1660.2280.1330.1960.3330.1510.1210.2250.2340.1670.1620.1280.1950.1520.1800.0960.0940.0660.1090.1390.1270.1170.1550.1720.1420.0000.1360.2010.2600.1130.1930.1670.1930.1390.1810.1150.1700.0551.0000.2690.2850.2820.0870.2110.1380.1680.1380.2150.2060.2060.1740.1390.1350.2570.2500.1890.2160.1960.1690.1230.0520.1140.1200.1280.1970.0880.0350.0830.0970.1250.0110.1400.0460.0830.1330.2190.1810.2310.2140.1130.1570.1120.0700.0620.1190.0350.133
Symptom_Muscle_aches0.0440.1360.0570.0750.0110.1870.1650.1470.1290.0930.1100.1650.0200.1870.1600.1420.1580.1460.0920.1260.0380.0150.1720.2310.1540.1540.1310.1670.1800.1370.0460.0940.0560.0680.0950.1280.0850.0800.0800.0740.1560.1620.1530.1840.1220.1200.1200.1590.0770.0610.1370.1340.0740.1300.0870.0850.0560.0380.1910.1810.1060.1830.1930.1630.2450.0880.0860.0420.0590.1270.1550.1130.1720.1510.1180.2200.1330.0800.1310.1170.0770.2230.2770.1600.0510.1510.1370.1040.1600.1060.2340.1550.1140.1310.1110.0270.1470.1790.1430.1190.1680.1340.1960.0140.0660.1300.1650.0940.1080.1000.1140.1110.0920.0530.1420.0430.2691.0000.4410.2960.0500.1430.0990.1040.0880.1540.1610.1530.1060.0840.0810.1660.1810.1540.1790.1230.0730.0630.0160.0690.1030.0810.1090.0680.0050.0910.0260.0890.0310.1030.0440.0760.1130.1970.1320.1780.1520.0880.0790.0620.0510.0390.1910.1410.061
Symptom_Joint_pain0.0330.1590.0850.1260.0420.1740.1660.1500.1250.1030.1360.1550.0330.2000.1680.1680.1860.1610.1140.1250.0400.0550.1950.2480.1520.1170.1240.1740.1710.1390.0400.0990.0680.0720.1220.1590.1060.1310.1070.0990.1810.1760.1780.1900.1550.1350.1340.1650.1100.0940.1370.1370.0860.1560.1160.1170.0900.0240.2330.2100.1270.1840.2160.1910.2230.0980.0850.0620.0470.1330.1710.1250.1690.1340.1390.2040.1440.0890.1360.1440.0950.2070.3090.1730.0570.1670.1670.1300.1410.1340.1980.1330.1280.1200.1110.0570.1300.1320.1560.1260.1480.1550.1580.0240.1330.1580.2110.0880.1440.1160.1490.1330.1330.0760.1650.0530.2850.4411.0000.3770.0500.1510.1220.1240.1050.1610.1820.1920.1540.1090.1000.2080.1990.1850.2090.1500.0910.0720.0390.0980.1200.1060.1390.0830.0450.0800.0320.1080.0210.1240.0390.0710.1180.2200.1620.2160.2000.1290.1500.0840.0620.0390.1440.1030.099
Symptom_Bone_ache_burning0.0230.1560.0980.1360.0240.1430.1260.1260.1220.1210.1750.1080.0350.1580.1540.1650.1750.1650.1410.1260.0490.0420.1380.1860.1550.1060.1040.1400.1500.1420.0510.1400.0870.0980.1130.1810.1010.1500.1320.1270.2020.1890.1380.1710.1680.1110.1260.1680.1130.1020.1170.1270.0640.1160.1210.1280.1130.0280.2540.1900.1430.1890.1850.2270.1810.1270.1190.0930.0710.1280.1850.1080.1540.1230.1490.1840.1190.0900.1140.1670.1220.1720.3300.1170.0910.1900.1800.1320.1270.1400.1750.1410.1290.0900.1130.0650.0940.1340.1600.1130.1530.1680.1230.0290.1400.1440.2020.0690.1610.1370.1820.1320.1760.0900.1490.0470.2820.2960.3771.0000.0410.1610.1350.1690.1310.1540.1840.1790.1300.1310.0900.2090.2040.1510.1810.1520.1240.1020.0590.0870.1100.1050.1550.0920.0380.0730.0240.0940.0090.1220.0170.0640.1530.1870.1490.2110.1820.0860.1610.0980.0540.0560.1120.0540.109
Symptom_Inability_to_yawn0.0000.0200.0500.0260.0000.0120.0280.0260.0410.0390.0070.0320.0200.0680.0520.0650.0520.0580.0420.0610.0000.0100.0330.0480.0910.0160.0250.0500.0210.0460.0120.0780.0000.0000.0140.0230.0240.0510.0280.0070.1100.0780.0660.0720.1190.0730.0650.0400.0540.0570.0320.0570.0460.0420.0490.0540.0580.0360.0910.1080.1110.0750.0790.1150.0510.0880.0670.0440.1120.0220.0780.0710.0530.0160.0730.0550.0830.0980.0860.1610.0750.0460.0840.1040.0800.0660.0540.0820.0560.0050.0470.0540.0780.0080.0220.0350.0790.0800.0400.0240.0980.0330.0480.0270.0600.1000.0980.0780.0700.0620.0910.0430.0830.0820.0410.0060.0870.0500.0500.0411.0000.1340.1020.0780.0830.0990.0790.0810.1050.0990.0710.0940.0850.0990.0640.0830.0510.0830.0390.0490.0740.0420.0500.0500.0350.0520.0600.0650.0280.0440.0000.0550.0740.0820.0420.0500.0830.0470.0400.0710.0480.0300.0230.0000.083
Symptom_Difficulty_swallowing0.0190.1110.1050.1020.0310.1310.1240.1290.0800.0970.1120.1150.0430.1500.1610.1620.1580.1520.1510.1550.0420.0530.1420.2160.1650.0890.1110.1530.1240.1170.0040.1290.0000.0310.0870.1170.0750.0880.1160.0790.1880.1980.1350.1730.2270.1320.1500.1220.1100.0980.1150.1120.0850.1050.1240.1330.0960.0370.2060.1780.1270.1860.1900.1690.1590.1390.1200.0890.1030.1100.1700.1280.1420.0880.1290.1520.1570.1440.1590.1990.1100.1850.1920.1760.1380.1660.1580.1570.1580.0940.1730.1660.2410.0880.1050.0800.1500.1840.1470.1040.2020.1310.2150.0560.1050.1810.1860.1230.1620.1240.1810.1290.1200.1310.1410.0530.2110.1430.1510.1610.1341.0000.2460.1720.1420.2140.1840.2110.2070.1210.1310.1990.2130.1970.1980.1830.1400.0890.0610.0940.1230.1180.1540.0980.0000.1000.0450.1080.0220.1110.0580.1040.1800.2130.1550.1930.1910.1090.1750.1270.0670.0510.1130.0290.125
Symptom_Changes_in_voice0.0000.0840.0680.0850.0330.1100.0880.1020.0590.0470.0890.0990.0270.1510.1380.1390.1330.1370.1200.1240.0460.0860.0690.1200.1160.0610.0630.0920.0920.0580.0240.0740.0290.0390.1000.1080.0700.0810.0960.0600.1340.1480.0980.1230.1520.0840.0940.1020.0740.0880.0790.0930.0590.0810.1040.0840.0660.0490.1310.1220.1080.1350.1220.1120.0890.1150.0960.0490.0890.0910.1070.1000.1240.0590.1480.1330.1420.1390.1250.1430.0830.1240.1270.1490.0990.1260.1660.1120.1020.0590.1240.0950.1280.0920.0880.0580.1360.1510.1100.0680.1630.1470.1460.0820.1050.1340.1610.0720.1070.1210.1340.0950.1360.0950.1190.0360.1380.0990.1220.1350.1020.2461.0000.1250.0830.1770.1540.1680.1280.0960.0980.1580.1360.1330.1390.1440.1030.0640.0290.0690.1300.1010.1330.0970.0120.0510.0260.0930.0730.0910.0260.0520.1350.1570.0950.1430.1440.0830.1410.0960.0470.0330.1020.0370.105
Symptom_Depersonalization0.0310.1780.1460.1790.0280.1880.1940.1840.1570.1780.1570.1830.0190.1490.1800.1680.2160.1780.1510.1770.0660.0170.1150.1520.2040.0910.0840.1390.1510.1140.0100.1390.0540.0730.0910.1150.0880.1140.0930.0890.1660.1680.1280.1440.1480.1610.1820.1530.1550.0770.1070.1090.0890.1100.2020.2040.1450.0640.1730.1690.1410.1500.1460.1870.1660.1080.0920.0700.0930.1190.1290.0760.1020.0700.1010.1160.1110.0940.1210.1190.0960.1640.1600.1000.0760.2530.2010.1150.1060.0720.1280.1180.1040.0210.0570.0790.0550.1090.0830.0620.0860.1080.0630.0000.1120.1200.1960.1160.1150.1000.1310.0850.0990.0840.0840.0120.1680.1040.1240.1690.0780.1720.1251.0000.5240.1910.2230.1280.1430.1370.0940.2240.2250.1320.1760.1700.1470.1420.0710.0630.1070.1020.2010.0660.0320.1010.0330.1350.0230.0850.0220.1000.1220.1490.1260.1510.1390.0720.1250.0950.0380.0350.0740.0420.087
Symptom_Derealization0.0000.1650.1800.1820.0290.1540.1810.1670.1460.1420.1320.1370.0440.1390.1640.1700.2020.1800.1260.1600.0690.0230.0860.1130.1650.0730.0640.0970.1210.1090.0000.1090.0310.0500.0740.0960.0880.1210.0800.0770.1340.1360.1270.1290.1240.1470.1760.1240.1180.0710.0760.1120.0960.1070.1880.1800.1500.0530.1390.1420.1150.1470.1050.1470.1440.0960.1040.0540.0780.0980.1250.0660.0940.0480.1040.1030.0930.0840.1100.1090.1240.1260.1280.0800.0590.2320.1720.0910.0990.0780.1150.1060.0870.0260.0310.0690.0500.0790.0830.0490.0710.0940.0820.0000.0990.1070.1620.0920.1180.0930.0950.0840.1170.0810.0760.0330.1380.0880.1050.1310.0830.1420.0830.5241.0000.1570.2140.1120.1120.1380.0750.1660.2080.1200.1520.1320.1310.1530.0700.0820.1000.1060.1740.0750.0470.0780.0480.1280.0280.0730.0340.0740.1100.1330.1290.1460.1260.0700.1140.0950.0550.0260.0620.0240.092
Symptom_Extreme_thirst0.0070.1250.0860.1180.0240.1630.1400.1400.1050.1050.0960.1550.0300.1570.1340.1620.1590.1650.1370.1490.0750.0370.1060.1630.1880.1120.1140.1260.1650.1250.0580.1120.0420.0600.0960.1270.0930.1150.1020.0940.1790.1950.1700.1760.1650.1550.1640.1210.1210.0560.1240.1290.1260.1370.1160.1310.0910.0340.1900.1810.1440.1920.1600.1640.1580.1290.1090.0730.0920.1480.1860.1320.1570.0990.1740.2100.1940.1030.1810.2250.1130.1960.1780.1610.0820.1830.1620.1440.1610.1140.1930.1600.1480.0780.0990.0750.1420.1490.1270.0860.1730.1040.1450.0340.0980.1680.2030.1440.1540.1350.1510.1210.1450.1200.1580.0360.2150.1540.1610.1540.0990.2140.1770.1910.1571.0000.2170.1810.1440.1310.1130.2070.2120.2090.1870.1630.0860.0890.0680.1130.1370.1040.1480.0960.0270.1280.0000.0940.0210.1330.0810.1090.1560.2140.1380.2100.1980.0790.1330.1110.0660.0350.1140.0640.126
Symptom_Ear_sensitivity_to_noise0.0130.2230.1310.1850.0170.2170.2330.2330.1680.1140.1600.1950.0480.2400.2430.2550.2750.2330.1470.2000.0830.0410.1600.2010.2610.1510.1320.1660.2560.1580.0710.1650.0030.0280.1080.1410.1000.1040.1680.1180.2010.2000.1500.1740.1510.1530.1780.1460.1090.0870.1440.1390.1210.1320.1570.1630.1080.0340.2100.1680.1470.2340.1800.2100.1730.1380.1300.1050.0890.1290.2360.1550.1380.0850.1750.1830.1650.1280.1720.1660.1080.2380.2150.1170.0910.1900.1990.1550.1130.0950.2010.1360.1630.0640.0620.0420.1000.1100.1070.0960.1410.1000.1480.0140.1700.2890.2520.1400.1640.1230.1520.0970.1480.1440.1490.0570.2060.1610.1820.1840.0790.1840.1540.2230.2140.2171.0000.2250.2130.1660.1660.2550.4270.1860.2390.2050.1330.1340.0720.0940.1370.1080.2020.1060.0640.0930.0250.1450.0260.1540.0640.1030.1660.1750.1570.1940.2050.1240.1420.1470.0680.0780.1570.0620.145
Symptom_Ear_ear_pain0.0160.1140.0670.1160.0320.1190.1000.1070.1020.0860.1010.1070.0300.1560.1430.1500.1580.1560.1020.1390.0560.0420.1750.1980.2190.1290.1540.2050.1590.1640.0600.1570.0230.0280.0900.1370.0840.1270.1270.0980.1700.1790.1270.1470.1370.1270.1340.1000.1030.0570.1020.1080.0940.1090.1040.1030.0920.0400.1820.1800.1220.1610.1580.1810.1400.1540.1390.1120.0930.1170.1520.1110.1510.0760.1550.1830.1390.1040.1380.1910.1060.1850.2170.1050.0850.1370.1520.1440.1480.0990.2090.1300.1520.0830.0820.0820.1000.1290.1820.1200.1470.0910.1970.0200.2350.2440.1980.1220.1230.1370.1680.1030.1430.1030.1550.0380.2060.1530.1920.1790.0810.2110.1680.1280.1120.1810.2251.0000.3810.2020.3170.1920.2190.1690.2590.1620.1140.0720.0570.1170.1160.1110.1560.1100.0090.1040.0140.0620.0490.1320.0530.0800.1160.2430.1480.2000.2020.1150.1310.1130.0600.0620.0910.0450.116
Symptom_Ear_changes_to_ear_canal0.0000.0870.0620.0740.0460.0960.0890.0970.0880.0790.0910.0850.0190.1210.1150.1340.1380.1190.0950.1200.0310.0210.1330.1650.2100.1050.1110.1310.1380.1070.0560.1490.0200.0460.1010.1150.0840.1120.1130.0890.1560.1450.1120.1340.1260.1240.1370.0820.1050.0670.1030.0870.0780.0950.0970.1060.0900.0440.1670.1580.0940.1530.1510.1730.1040.1520.1440.1470.0900.1070.1600.0970.1310.0620.1210.1480.1180.1140.1330.1580.0810.1730.1830.1030.0920.1440.1340.1220.1110.1000.1720.1130.1480.0590.0760.0770.0930.0970.1680.1310.1160.1070.1560.0410.2490.2780.1660.1010.1190.1030.1520.0870.1270.1000.1290.0560.1740.1060.1540.1300.1050.2070.1280.1430.1120.1440.2130.3811.0000.1950.3070.1660.2030.1780.2060.1620.1210.0780.0530.1030.1390.1380.1580.1050.0080.0760.0230.0740.0550.1160.0320.0790.1120.1860.1430.1570.1990.1020.1260.1160.0710.0570.0700.0260.120
Symptom_Ear_numbness0.0000.1040.1000.1220.0000.0820.0830.0880.0840.0860.1160.0680.0000.0920.0990.0990.1200.1250.1020.0950.0450.0000.0530.1000.1430.0750.0790.0900.0950.0770.0380.1130.0380.0620.0750.0950.0920.1220.0910.0980.1180.1420.0720.1240.1240.0710.0900.0870.0830.0610.0310.0650.0630.0500.1120.1430.1240.0410.1410.1960.1930.1170.1300.1290.1110.2090.1340.1100.1560.0670.1190.0530.0750.0460.0830.0940.0740.0700.0630.1380.1290.0990.1510.0770.0890.1580.1730.1050.0610.0870.0950.0640.0760.0240.0410.0750.0560.0570.0880.0480.0750.0780.0620.0000.2130.1410.1250.0390.0870.1010.1360.1020.1390.0820.0840.0000.1390.0840.1090.1310.0990.1210.0960.1370.1380.1310.1660.2020.1951.0000.1350.1320.1590.1000.1550.1150.1520.1230.0430.0830.0920.1200.1180.0240.0460.0370.0750.0810.0100.0750.0260.0290.0760.1130.0990.1270.1210.0560.1270.0970.0730.0460.0360.0000.073
Symptom_Other_ear_hearing_symptoms0.0000.0990.0710.0850.0870.0690.0600.0660.0700.0400.0780.0740.0600.1290.1220.1120.1130.1140.0880.1050.0330.0830.1070.1110.1410.0950.0910.1070.0890.0980.0950.0980.0210.0310.0700.0820.0810.0960.0680.0620.1150.1120.0890.0700.0640.0950.0840.0530.0780.0620.1100.0790.0770.0680.0850.1030.0680.0390.1310.1040.0870.1110.1070.1350.1150.0980.0890.0820.0720.0620.0820.1130.0510.0290.1000.1000.0610.0750.1030.1230.0530.1300.1320.0610.0770.1390.1100.0910.0600.0380.1160.0780.1050.0170.0710.0470.0420.0480.1000.0750.0800.0540.0850.0550.2440.2730.1930.0430.1340.0840.1170.0780.0910.0670.1230.1100.1350.0810.1000.0900.0710.1310.0980.0940.0750.1130.1660.3170.3070.1351.0000.1540.1520.1260.1630.1450.1080.0640.0510.0660.1050.1120.1390.1750.0000.0410.0320.0340.0060.1300.0150.0320.0790.1240.0880.1250.1450.0690.0840.0810.1060.0850.0440.0200.094
Symptom_Eye_Vision_blurred_vision0.0110.2210.1560.1670.0600.2080.1980.2060.1450.1220.1570.1730.0420.2610.2360.2650.2420.2370.1620.2240.1040.0650.1800.2040.2000.0960.1260.1830.1790.1210.0860.1340.0570.0770.1270.1590.0920.1210.1090.0830.2200.2280.1840.2020.1560.1540.1400.1350.1260.0930.1440.1400.1230.1470.1710.1550.1120.0530.2440.2240.1680.2260.2250.2510.1940.1370.1380.0870.1000.1210.1980.1340.1610.1090.2030.2070.1860.1520.1620.1920.1450.2400.2390.1400.0760.2230.2380.1640.1520.1200.2020.1540.1470.1050.1000.0750.1190.1320.1450.1280.1530.1290.1240.0000.1400.2220.6830.1180.2140.1480.1800.1360.1530.1110.1850.0400.2570.1660.2080.2090.0940.1990.1580.2240.1660.2070.2550.1920.1660.1320.1541.0000.3610.2410.2740.2920.2960.1640.0990.1400.1880.1580.2350.1750.0460.0890.0300.1190.0190.1570.0270.0860.1730.2070.1470.2340.2700.1100.1790.1080.0740.0390.1230.0730.121
Symptom_Eye_Vision_sensitivity_to_light0.0240.2210.1670.1910.0420.2290.2370.2430.1710.1460.1840.2100.0460.2640.2410.2640.2770.2390.1710.2230.0990.0900.2540.2400.2770.1720.1790.2090.2880.2300.0700.1580.0510.0720.1390.1470.1210.1200.1440.1030.2030.2010.1380.1780.1610.1520.1800.1410.1340.0970.1370.1460.1260.1220.1720.1620.1180.0660.2310.1940.1480.2160.2000.2040.2150.1420.1430.1040.0920.1380.2440.1520.1700.0990.1770.1940.1870.1350.1890.1880.1570.2540.2320.1260.1040.2380.2260.1790.1570.1240.2310.1570.1410.0850.0980.0480.1220.1370.1460.1340.1410.1080.1640.0240.1380.2150.3570.1630.1920.1370.1690.1350.1540.1230.1690.0800.2500.1810.1990.2040.0850.2130.1360.2250.2080.2120.4270.2190.2030.1590.1520.3611.0000.2520.3350.2390.2030.1630.0820.1250.1890.1660.2470.1920.0410.1270.0180.1430.0440.1630.0730.1110.1650.2090.1650.2140.2490.1410.1680.1270.0680.0570.1510.0580.152
Symptom_Eye_Vision_dry_eyes0.0100.1320.0690.1090.0530.1300.1150.1260.1010.0980.0980.1280.0410.1630.1360.1520.1620.1340.0870.1400.0410.0410.1510.1890.1700.1020.0910.1460.1470.1190.0710.0930.0340.0550.0940.1160.0670.0840.0960.0600.1520.1480.1410.1550.1310.1390.1390.1120.1190.0740.1360.1140.1010.1270.0930.1060.0600.0540.2020.1640.1070.1840.1570.1820.1350.0980.1050.0540.0800.0800.1750.1180.1230.0730.1300.1540.1420.1200.1450.1850.0800.1690.1790.0990.0910.1180.1310.1580.1360.0940.1730.1370.1580.0900.0980.0340.0910.1010.1330.0780.1190.0770.1370.0230.0950.1770.2510.0900.1530.1250.1460.0970.1120.1130.1440.0700.1890.1540.1850.1510.0990.1970.1330.1320.1200.2090.1860.1690.1780.1000.1260.2410.2521.0000.2230.2160.1310.0950.0440.1640.2390.2300.1740.2190.0300.0810.0090.0930.0470.1300.0360.0440.1650.2010.1470.2330.3700.1410.1560.1150.0470.0370.0890.0530.114
Symptom_Eye_Vision_eye_pressure_pain0.0330.1400.0950.1130.0470.1520.1390.1490.1370.1190.1160.1410.0480.1810.1610.2010.1880.1660.1240.1490.0480.0660.3460.2310.2840.1510.1800.2170.2220.1820.0880.1660.0270.0330.1130.1330.0920.1270.1110.0780.1580.1690.1520.1610.1430.1210.1450.1210.0930.0870.1150.1360.0980.1390.1110.0940.0830.0240.2140.1880.1420.1730.1650.1790.1720.1850.1670.1350.0710.1200.1490.1330.1350.0890.1410.1840.1480.1380.1650.1800.0980.1930.2280.1320.0910.1710.1750.1440.1390.1110.2030.1250.1510.0730.0660.0720.1090.1420.1420.1140.1520.1030.1520.0340.0910.1890.2940.1350.1350.1230.1670.1060.1300.1000.1510.0570.2160.1790.2090.1810.0640.1980.1390.1760.1520.1870.2390.2590.2060.1550.1630.2740.3350.2231.0000.2090.1630.1270.0860.1060.1830.1660.1820.2330.0130.1240.0410.0860.0180.1450.0700.1200.1370.2230.1580.2000.2320.1110.1670.1090.0550.0440.0850.0280.114
Symptom_Eye_Vision_floaters0.0280.1460.0920.1150.0380.1320.1450.1500.0930.1010.1310.1170.0290.1760.1520.1830.1750.1610.1100.1520.0650.0500.1610.1800.1560.0910.1070.1270.1360.1050.0490.1080.0220.0310.1200.1410.0890.1150.0840.0690.1510.1550.1390.1580.1270.1570.1440.1460.1150.0710.1280.0990.0830.1290.1340.1280.1180.0260.1800.1640.1240.1960.1550.1750.1210.1300.0950.0580.0760.0920.1610.1080.1110.0590.1250.1470.1310.1130.1290.1550.0810.1780.1720.0950.0610.1680.1550.1240.1250.0760.1520.0860.1550.0880.0960.0670.0890.1020.1320.1040.1040.1150.1090.0310.1320.2230.3140.0840.1590.1190.1630.1130.1380.0960.1540.0660.1960.1230.1500.1520.0830.1830.1440.1700.1320.1630.2050.1620.1620.1150.1450.2920.2390.2160.2091.0000.1810.1330.0930.0950.1810.1320.3280.1660.0300.0850.0320.1000.0250.1170.0320.0720.1400.1640.1220.1990.2170.1130.1710.1050.0660.0500.0790.0320.109
Symptom_Eye_Vision_double_vision0.0370.1350.1200.1440.0330.1210.1040.1220.0990.0720.1250.0920.0390.1470.1540.1830.1490.1520.1290.1470.0400.0680.0950.0960.1270.0610.0800.0990.1100.1020.0650.1360.0440.0410.0800.0990.0660.0960.1000.0580.1500.1570.0850.1010.1060.0810.0920.0700.0630.0760.0570.1000.0750.0680.1660.1790.1260.0690.1440.1380.1460.1270.1300.1650.1220.1000.0910.0700.0760.0700.1300.0910.0890.0570.1330.0910.1080.1190.0890.1040.1240.1190.1310.0830.0890.1730.2090.1120.0750.0510.1070.0850.0730.0380.0470.0630.0520.0680.0900.0630.0840.0950.0550.0280.1130.1250.3030.0680.1540.1180.1210.1060.1210.1030.1260.0190.1690.0730.0910.1240.0510.1400.1030.1470.1310.0860.1330.1140.1210.1520.1080.2960.2030.1310.1630.1811.0000.1820.1110.0770.1220.1270.1590.1120.0280.0500.0440.0650.0000.1060.0120.0730.1160.1040.0800.1370.1600.0860.1230.1060.0750.0100.0490.0290.098
Symptom_Eye_Vision_tunnel_vision0.0260.0970.1560.1140.0000.0880.0930.0940.1110.0660.1430.0760.0040.1000.1240.1460.1440.1230.1070.1260.0420.0340.0650.0700.1160.0550.0570.0730.0900.0630.0150.0910.0230.0290.0700.0910.0630.1200.0820.0760.1010.1090.0570.0550.0670.0720.0670.0620.0340.0670.0370.0740.0780.0620.1030.1100.1130.0320.0980.1160.1050.1010.0980.1140.0940.0670.0810.0770.0680.0550.1010.0630.0690.0540.1100.0740.0830.0770.0660.0980.1100.0880.1050.0480.0910.1630.1340.0700.0510.0460.0840.0680.0530.0110.0460.0440.0330.0470.0850.0530.0680.0690.0400.0160.0720.0970.1670.0710.0990.1040.0710.0940.0970.0680.0450.0000.1230.0630.0720.1020.0830.0890.0640.1420.1530.0890.1340.0720.0780.1230.0640.1640.1630.0950.1270.1330.1821.0000.1140.0290.1030.0970.1510.0710.0290.0710.0820.1340.0140.0590.0230.0610.1080.0940.0770.0940.0930.0690.0990.0700.0360.0450.0390.0220.074
Symptom_Eye_Vision_loss_of_vision0.0000.0650.0750.0590.0170.0410.0400.0430.0320.0520.0660.0270.0000.0490.0600.0460.0600.0650.0860.0590.0230.0500.0520.0420.0490.0600.0000.0240.0390.0320.0470.0640.0310.0360.0320.0300.0240.0560.0440.0380.0470.0650.0240.0210.0390.0200.0630.0190.0320.0510.0000.0240.0220.0180.0850.0900.1070.0280.0490.0750.0840.0580.0500.0560.0270.0280.0480.0480.0650.0410.0440.0060.0310.0410.0560.0360.0490.0340.0330.0520.0700.0470.0550.0380.0500.0810.0940.0420.0280.0260.0440.0260.0540.0000.0120.0600.0220.0270.0450.0330.0320.0430.0070.0090.0570.0470.1160.0440.0770.0750.0650.0590.0510.0450.0370.0110.0520.0160.0390.0590.0390.0610.0290.0710.0700.0680.0720.0570.0530.0430.0510.0990.0820.0440.0860.0930.1110.1141.0000.0310.0290.0310.0990.0560.0600.0420.0220.0480.0000.0560.0000.0230.0000.0460.0250.0670.0730.0420.0810.0630.0500.0460.0170.0000.022
Symptom_Eye_Vision_pink_eye0.0000.0540.0430.0380.0370.0500.0590.0670.0410.0110.0320.0520.0360.0830.0690.0840.0750.0670.0620.0760.0460.0280.0750.0930.0850.0590.0460.0750.0540.0590.0520.0680.0240.0330.0610.0680.0510.0500.0820.0380.1000.1070.0660.0830.0870.0650.0700.0480.0730.0540.0500.0250.0480.0610.0500.0570.0440.0180.1230.1150.0830.1100.0730.1080.0660.0570.0590.0340.0460.0780.0770.0460.0920.0660.0980.1000.1010.0630.0620.1530.0620.0920.1160.0650.0790.0860.0790.0620.1130.0500.1150.0770.0930.0480.0410.0390.0460.0610.0960.0560.0970.0730.1060.0180.0420.1030.1680.0850.0910.1160.1230.1040.0830.0770.1350.0280.1140.0690.0980.0870.0490.0940.0690.0630.0820.1130.0940.1170.1030.0830.0660.1400.1250.1640.1060.0950.0770.0290.0311.0000.2300.2080.0780.2280.0440.0570.0150.0370.0300.0560.0260.0510.0310.1210.0790.1280.2210.0600.0600.0860.0420.0350.0410.0220.085
Symptom_Eye_Vision_bloodshot_eyes0.0100.1070.0710.0720.0300.0950.0750.1020.0840.0820.0560.1040.0210.1030.1130.1140.1090.0950.0820.1300.0210.0160.1150.1340.1300.0850.0760.0820.0970.0780.0500.1040.0130.0300.0780.0710.0550.0840.1070.0770.1390.1200.1110.1290.1070.1240.1110.0730.0930.0650.0820.0880.0840.0920.0880.0950.0750.0340.1530.1320.0860.1570.1330.1320.1130.1000.0740.0590.0890.0870.1210.0870.1180.0670.1230.1220.1110.1100.1070.1540.0900.1170.1400.0650.0880.1300.1030.0970.1290.0460.1180.1130.1100.0540.0810.0760.0650.0820.1250.1100.0920.0850.1230.0200.0790.1510.1910.0820.1240.1290.1460.1220.1010.0910.1330.0690.1200.1030.1200.1100.0740.1230.1300.1070.1000.1370.1370.1160.1390.0920.1050.1880.1890.2390.1830.1810.1220.1030.0290.2301.0000.2830.1500.2100.0240.0720.0560.0820.0270.0980.0210.0490.0890.1330.1300.1420.2490.0770.1080.0840.0820.0190.0740.0110.110
Symptom_Eye_Vision_redness_outside_eye0.0000.0700.0660.0720.0490.0820.0560.1090.0780.0520.0630.0760.0330.0770.0730.0930.0840.0830.0690.0780.0240.0120.0860.1060.1170.0710.0750.0780.0920.0750.0420.0800.0160.0440.0490.0750.0730.0850.0870.0360.1240.1010.0590.1120.1120.0740.0900.0790.0560.0510.0640.0610.0510.0540.0650.0940.0740.0410.1280.1130.0890.1290.1180.1180.1110.1030.0980.0680.0750.0810.1030.0670.0730.0460.1360.1040.0890.0920.0900.1280.0730.0980.1130.0790.1000.0950.1100.0880.1000.0870.1180.0880.0820.0660.0730.0760.0570.0770.1070.0530.0980.0950.0790.0320.0900.1300.1490.0580.1160.1190.1530.0950.1170.0840.1250.0540.1280.0810.1060.1050.0420.1180.1010.1020.1060.1040.1080.1110.1380.1200.1120.1580.1660.2300.1660.1320.1270.0970.0310.2080.2831.0000.0950.1910.0000.0310.0330.0730.0380.0850.0290.0360.0930.1320.1290.1680.2670.0810.1160.0750.0600.0420.0530.0000.068
Symptom_Eye_Vision_seeing_things_peripheral_vision0.0120.1800.1220.1550.0410.1510.1470.1530.1240.1120.1910.1240.0350.1780.1660.1680.1820.1720.1430.1420.0440.0560.1290.1340.1580.0850.0950.1060.1430.1060.0370.1220.0430.0510.1360.1720.1130.1180.1110.0740.1500.1420.1200.1460.1130.1500.1660.1430.1360.0790.1090.1090.1000.1120.3010.2050.1490.0750.1720.1470.1320.1610.1260.1740.1270.1390.1150.0620.0670.0980.1610.0790.0980.0690.1390.1390.1210.0980.1040.1280.0960.1600.1670.0980.0680.2010.1790.1120.1170.0780.1490.0890.1400.0640.0700.0480.0870.0850.1270.1030.1110.1230.1030.0170.1330.1760.2620.0740.1360.1260.1440.0920.1400.0800.1160.0240.1970.1090.1390.1550.0500.1540.1330.2010.1740.1480.2020.1560.1580.1180.1390.2350.2470.1740.1820.3280.1590.1510.0990.0780.1500.0951.0000.1010.0230.0590.0130.0830.0430.1070.0280.0500.1440.1570.1440.1810.2030.0920.1420.0760.0470.0530.0690.0250.103
Symptom_Eye_Vision_other_eye_issues0.0110.1050.0600.0690.1120.0740.0810.0940.0710.0570.0400.0740.0890.1410.1260.1360.1290.1090.0780.1150.0430.0860.1140.0890.1080.0580.0590.0780.0960.0630.1230.0710.0020.0210.0800.0750.0630.0460.0680.0440.1130.0970.0820.0850.0550.0650.0650.0540.0480.0410.1300.0550.0940.0630.0870.0710.0570.0650.1210.1040.0620.1250.0970.1110.0840.0610.0630.0700.0410.0480.0890.1510.0530.0310.1270.1220.0830.0760.1220.1300.0450.1310.1180.0570.0690.0900.1090.0820.1000.0360.1200.0940.0920.0600.0690.0350.0570.0410.0960.0900.0640.0480.1050.1010.0650.1170.2280.0840.1410.0810.1040.0910.0580.0580.1400.1260.0880.0680.0830.0920.0500.0980.0970.0660.0750.0960.1060.1100.1050.0240.1750.1750.1920.2190.2330.1660.1120.0710.0560.2280.2100.1910.1011.0000.0000.0280.0110.0300.0340.1310.0840.0520.0910.1190.0860.1250.2500.0640.0900.0670.0970.0530.0690.0260.086
Symptom_Reproductive_early_menopause0.0080.0370.0390.0600.0000.0320.0230.0000.0450.0510.0410.0240.0060.0280.0300.0210.0250.0300.0180.0250.0000.0000.0000.0110.0180.0000.0000.0130.0140.0050.0000.0290.0000.0000.0000.0000.0000.0080.0040.0090.0290.0000.0250.0530.0290.0050.0280.0280.0420.0260.0190.0170.0220.0220.0240.0450.0430.0000.0640.0360.0350.0480.0120.0590.0240.0000.0240.0000.0070.0180.0150.0100.0320.0000.0640.0460.0150.0220.0000.0580.0260.0240.0380.0150.0240.0490.0210.0290.0000.0090.0000.0000.0260.0000.0140.0000.0000.0000.0200.0240.0180.0260.0260.0000.0380.0330.0310.1090.0460.0400.0270.0250.0270.0320.0380.0110.0350.0050.0450.0380.0350.0000.0120.0320.0470.0270.0640.0090.0080.0460.0000.0460.0410.0300.0130.0300.0280.0290.0600.0440.0240.0000.0230.0001.0000.0000.0000.0570.0330.0270.0000.0390.0290.0310.0130.0370.0260.0000.0450.0280.0640.0170.0070.0000.032
Symptom_Reproductive_abnormally_heavy_periods_clotting0.0300.0550.0460.0440.0120.0820.0810.0870.0750.0730.0400.0770.0210.0950.0810.1000.0970.0730.0400.0840.0460.0500.0940.0760.1020.0600.0770.0800.1220.0950.0000.0680.0000.0000.0410.0600.0450.0580.0630.0630.0950.0700.0640.0860.0800.0920.0830.0590.0510.0000.0510.0700.0460.0650.0690.0320.0420.0000.0740.0810.0900.0910.0970.0990.0800.0670.0740.0330.0660.0860.0970.0650.1000.0920.0580.1070.1260.0780.0960.1540.0660.0980.0870.0870.0650.1020.0710.0660.1130.0900.1150.0830.0590.0630.0370.0460.0720.0890.0750.0380.0930.0250.0870.0000.0000.0490.0770.4890.0650.0960.0880.0700.0360.0960.0980.0380.0830.0910.0800.0730.0520.1000.0510.1010.0780.1280.0930.1040.0760.0370.0410.0890.1270.0810.1240.0850.0500.0710.0420.0570.0720.0310.0590.0280.0001.0000.0480.0640.0000.0440.1740.3440.0530.1030.0490.0880.0690.0570.0720.1010.0190.0240.0660.0260.080
Symptom_Reproductive_testicle_penis_pain_changes0.0100.0300.0490.0230.0000.0080.0000.0150.0190.0150.0140.0000.0000.0190.0420.0080.0300.0290.0330.0400.0250.0000.0000.0160.0320.0000.0000.0380.0000.0170.0170.0500.0030.0130.0040.0000.0000.0000.0060.0050.0550.0850.0260.0230.0100.0140.0250.0500.0230.0760.0150.0180.0330.0150.0500.0570.0270.0050.0570.0680.0630.0560.0310.0580.0400.0370.0230.0550.0350.0000.0000.0160.0000.0000.0200.0000.0220.0320.0000.0510.0110.0150.0560.0000.0550.0660.0690.0670.0470.0000.0080.0250.0380.0000.0250.0480.0000.0000.0280.0280.0240.0220.0000.0000.0370.0880.0530.0670.0390.0320.0500.0520.0530.0380.0310.0160.0970.0260.0320.0240.0600.0450.0260.0330.0480.0000.0250.0140.0230.0750.0320.0300.0180.0090.0410.0320.0440.0820.0220.0150.0560.0330.0130.0110.0000.0481.0000.1550.0000.0280.0450.0530.0000.0630.0550.0240.0340.0000.0000.0310.0000.0170.0140.0000.036
Symptom_Reproductive_sexual_dysfunction0.0000.1090.0970.1030.0000.1110.1110.1290.0990.0980.0980.1000.0000.1210.1130.1210.1400.1030.1000.1080.0730.0480.0720.0980.0960.0580.0340.0660.1230.0850.0210.0520.0350.0320.0350.0860.0550.0710.0470.0360.0850.1110.0780.1040.0760.0750.0930.0800.0840.0920.0560.0810.0640.0800.1010.1050.0820.0310.1120.1200.0980.0980.1060.1030.1260.0580.0790.0460.0660.0380.1040.0480.0330.0390.0520.0700.0760.0470.0600.0870.1000.0900.1020.0510.0640.1460.1370.0920.0640.0640.0650.0650.0750.0300.0650.0260.0320.0390.0740.0680.0510.0890.0440.0010.0670.0990.0910.0580.1310.0760.0670.0640.1120.0750.0830.0370.1250.0890.1080.0940.0650.1080.0930.1350.1280.0940.1450.0620.0740.0810.0340.1190.1430.0930.0860.1000.0650.1340.0480.0370.0820.0730.0830.0300.0570.0640.1551.0000.0070.0590.0310.0720.0930.0980.1050.1330.1010.0510.1200.0790.0510.0270.0540.0330.100
Symptom_Reproductive_postmenopausal_bleeding0.0000.0140.0060.0000.0000.0050.0150.0330.0000.0150.0110.0000.0000.0360.0100.0320.0000.0310.0200.0000.0000.0170.0080.0200.0430.0000.0130.0200.0220.0000.0000.0460.0280.0440.0210.0350.0270.0230.0110.0320.0260.0000.0260.0430.0500.0230.0140.0420.0190.0390.0140.0210.0160.0390.0200.0040.0360.0000.0270.0190.0200.0430.0260.0380.0000.0130.0220.0000.0300.0350.0100.0160.0290.0370.0000.0260.0240.0100.0360.0460.0000.0380.0380.0480.0170.0000.0080.0180.0410.0180.0250.0320.0410.0200.0200.0120.0240.0330.0000.0000.0190.0340.0130.0000.0240.0160.0300.1040.0390.0430.0430.0000.0000.0290.0240.0080.0110.0310.0210.0090.0280.0220.0730.0230.0280.0210.0260.0490.0550.0100.0060.0190.0440.0470.0180.0250.0000.0140.0000.0300.0270.0380.0430.0340.0330.0000.0000.0071.0000.0110.0000.0010.0320.0360.0220.0270.0530.0120.0260.0190.0000.0400.0150.0050.020
Symptom_Reproductive_other_urinary_issues0.0000.1150.0730.0920.0770.0820.0900.0950.0820.0830.0760.0880.0690.1280.1140.1380.1320.1060.0800.1400.0360.0560.0830.1160.1070.0780.0240.1000.0880.0650.0800.0920.0000.0260.0870.0950.0740.0740.0850.0650.1310.1430.1020.0920.0740.0800.1020.0830.0560.0740.0980.0720.0730.0910.0790.0750.0530.0810.1470.1350.0920.1260.1320.1460.1180.0790.0780.0740.0660.0560.1260.1250.0680.0380.1320.1140.1020.0570.0880.1190.0580.1110.1500.0810.0850.1200.1090.1310.1020.0930.1460.1200.1300.0360.0740.0410.0630.0560.0940.0940.0900.0840.0930.0640.0850.1120.1540.0990.4850.0820.1350.1100.0970.1100.1250.0760.1400.1030.1240.1220.0440.1110.0910.0850.0730.1330.1540.1320.1160.0750.1300.1570.1630.1300.1450.1170.1060.0590.0560.0560.0980.0850.1070.1310.0270.0440.0280.0590.0111.0000.0520.0400.1220.1700.1300.1500.1410.0650.1010.1150.1170.0350.0710.0320.115
Symptom_Reproductive_other_menstrual_issues0.0000.0330.0130.0270.0360.0520.0550.0490.0390.0350.0070.0380.0710.0570.0540.0740.0680.0380.0180.0630.0420.0410.0590.0410.0510.0630.0120.0520.0720.0810.0710.0330.0040.0090.0000.0330.0020.0280.0100.0000.0580.0350.0190.0550.0290.0370.0350.0170.0000.0000.0490.0510.0170.0000.0000.0090.0000.0180.0310.0620.0430.0720.0640.0340.0000.0260.0000.0440.0000.0430.0600.0730.0370.0370.0480.0600.0670.0470.0660.0640.0230.0390.0430.0460.0470.0080.0360.0500.0490.0210.0750.0580.0460.0340.0270.0000.0360.0420.0340.0340.0680.0200.0620.0560.0080.0210.0500.4100.0510.0400.0350.0310.0340.0630.0680.0460.0460.0440.0390.0170.0000.0580.0260.0220.0340.0810.0640.0530.0320.0260.0150.0270.0730.0360.0700.0320.0120.0230.0000.0260.0210.0290.0280.0840.0000.1740.0450.0310.0000.0521.0000.1200.0470.0650.0360.0390.0360.0460.0030.0680.0590.0240.0270.0000.036
Symptom_Reproductive_abnormally_irregular_periods0.0100.0630.0810.0730.0000.0810.0380.0750.0690.0760.0820.0770.0130.0860.0760.1020.0780.0810.0520.0770.0180.0280.0780.0700.1160.0570.0640.0910.0880.0770.0110.0670.0140.0270.0510.0770.0540.0590.0590.0520.0870.0780.0840.0920.0820.0910.1030.0220.0580.0450.0610.0740.0640.0750.0540.0410.0280.0000.0790.0600.0510.0840.0910.0740.0700.0620.0510.0420.0200.0810.0960.0530.0960.0480.0810.0770.1140.0810.1100.0990.0480.0860.0820.0740.0470.1150.0820.0800.1130.0620.1130.1080.0760.0580.0460.0520.0740.0950.0630.0560.1150.0620.0910.0000.0180.0710.0940.5990.0760.0940.0850.0630.0620.0830.0910.0200.0830.0760.0710.0640.0550.1040.0520.1000.0740.1090.1030.0800.0790.0290.0320.0860.1110.0440.1200.0720.0730.0610.0230.0510.0490.0360.0500.0520.0390.3440.0530.0720.0010.0400.1201.0000.0670.1130.0780.0780.0580.0550.0520.0740.0000.0220.0530.0190.085
Symptom_Gastrointestinal_feeling_full_quickly_eating0.0180.0990.0670.0910.0140.0980.0980.1020.1070.0930.0810.0920.0000.1210.1140.1240.1400.1130.0960.0970.0280.0220.0800.1350.1160.0580.0690.1070.0890.0900.0430.0870.0410.0530.1230.1280.0930.1100.1040.0810.1130.1270.1150.1260.1090.1070.0990.0830.0890.0440.1030.1050.0990.1170.0970.1030.0560.0150.1360.1200.0910.1470.1110.1150.1230.0750.0850.0650.0500.0980.1660.1180.1300.0620.1390.1380.1330.1060.1280.1050.0880.1420.1460.1120.0710.1140.1170.2100.1610.1280.2200.2990.1880.0510.0550.0280.0900.0870.1240.0910.1090.0570.0780.0000.0870.1230.1610.1040.1370.1040.1120.0720.1030.0920.0850.0590.1330.1130.1180.1530.0740.1800.1350.1220.1100.1560.1660.1160.1120.0760.0790.1730.1650.1650.1370.1400.1160.1080.0000.0310.0890.0930.1440.0910.0290.0530.0000.0930.0320.1220.0470.0671.0000.2890.1900.1730.1660.0890.1280.0950.0500.0240.0770.0410.110
Symptom_Gastrointestinal_abdominal_pain0.0310.1120.0750.1080.0360.1200.1240.1220.1080.0950.0880.1370.0230.1610.1600.1690.1630.1480.1390.1450.0370.0480.1570.2200.1790.1430.1510.1910.1680.1570.0710.1510.0150.0230.1080.1480.0940.1350.1150.0860.1570.1730.1740.2070.1630.1390.1630.1260.1050.0880.1250.1510.1010.1560.1190.1100.0860.0410.2060.2130.1330.1930.1860.1720.1720.1090.1130.0920.0750.1530.1890.1370.1960.1080.1750.2220.1740.1320.1670.1550.0940.2250.2460.1410.1000.1640.1590.2560.3170.1830.3510.2390.2990.0720.0830.0440.1000.1660.1700.1090.2170.1010.1860.0070.1030.1850.2060.1630.1800.1440.1730.1210.1320.1420.1850.0600.2190.1970.2200.1870.0820.2130.1570.1490.1330.2140.1750.2430.1860.1130.1240.2070.2090.2010.2230.1640.1040.0940.0460.1210.1330.1320.1570.1190.0310.1030.0630.0980.0360.1700.0650.1130.2891.0000.3440.2480.2210.1350.1500.1540.0800.0330.1210.0600.144
Symptom_Gastrointestinal_hyperactive_bowel0.0370.1050.0890.0970.0000.0690.0900.1030.1060.0970.0880.0850.0000.0970.0960.1170.1140.1220.0870.0830.0460.0270.0900.1540.1220.0700.0750.1120.1010.0930.0230.1050.0190.0390.0960.1150.0790.1350.0910.0800.1400.1440.1220.1670.1130.1430.1430.1190.1250.0830.0900.0950.0980.1040.0790.1010.1010.0330.1650.1490.0550.1600.1380.1500.1320.0820.0770.0820.0530.1300.1620.0930.1170.0690.1360.1630.1270.0750.1210.1050.0540.1520.1680.0810.0710.1200.1140.1340.3290.1320.2290.1720.2130.0590.0910.0450.0540.0630.1230.0880.1000.0930.0950.0180.0760.1470.1580.0900.1550.1000.1210.0730.1180.1000.1160.0330.1810.1320.1620.1490.0420.1550.0950.1260.1290.1380.1570.1480.1430.0990.0880.1470.1650.1470.1580.1220.0800.0770.0250.0790.1300.1290.1440.0860.0130.0490.0550.1050.0220.1300.0360.0780.1900.3441.0000.1770.1750.1230.1280.1140.0670.0490.0600.0330.125
Symptom_SkinAllergy_itchy_skin0.0340.1650.0760.1370.0360.1270.1390.1350.1060.1320.1330.1220.0510.1870.1640.1850.1880.1520.1300.1520.0620.0490.1570.1850.1530.1020.1070.1560.1520.1250.0570.0920.0580.0520.1030.1680.0750.1240.1140.0780.1500.1690.1500.1880.1410.1360.1330.1510.1080.0730.1140.1150.1040.1360.1210.1240.1230.0290.3930.1800.1100.1930.1920.1990.1440.1140.1080.0660.0550.1310.1870.1220.1480.1280.1550.2040.1120.0980.1190.1530.0920.1810.2260.1150.0990.1620.1740.1680.1690.1410.1830.1230.1360.1140.1120.0560.1150.0950.1660.1180.1180.1430.1290.0090.1280.1510.2100.0870.1610.2420.2400.1320.2520.1610.4010.1210.2310.1780.2160.2110.0500.1930.1430.1510.1460.2100.1940.2000.1570.1270.1250.2340.2140.2330.2000.1990.1370.0940.0670.1280.1420.1680.1810.1250.0370.0880.0240.1330.0270.1500.0390.0780.1730.2480.1771.0000.3890.1980.2000.1510.1270.0670.0790.0560.132
Symptom_SkinAllergy_itchy_eyes0.0050.1600.1100.1360.0390.1160.1190.1350.0990.1080.1210.1090.0440.1720.1490.1620.1740.1670.1400.1540.0560.0410.1680.2000.1650.1020.1180.1480.1590.1230.0490.1280.0480.0670.1210.1640.1180.1310.1100.0990.1700.1710.1210.1670.1590.1530.1500.1280.1320.1140.1340.0980.0980.0890.1090.1390.1140.0570.2510.1760.0960.1870.1740.1830.1250.1120.1110.0790.0830.1120.1770.1050.1260.0970.1620.1700.1380.1020.1240.1540.0870.1810.1930.1240.1020.1630.1760.1540.1460.1020.1950.1190.1590.0970.1180.0440.0990.0860.1940.1320.1120.1530.1370.0150.1480.1720.2480.0850.1730.1760.1980.1450.1870.1560.2090.0680.2140.1520.2000.1820.0830.1910.1440.1390.1260.1980.2050.2020.1990.1210.1450.2700.2490.3700.2320.2170.1600.0930.0730.2210.2490.2670.2030.2500.0260.0690.0340.1010.0530.1410.0360.0580.1660.2210.1750.3891.0000.2080.2030.1460.1150.0430.0890.0530.117
Symptom_SkinAllergy_heighted_reaction_allergies0.0000.0650.0570.1050.0240.0560.0770.0810.0480.0500.0710.0790.0240.1100.0890.0970.1060.0730.0720.0990.0370.0280.0800.1010.0720.0620.0620.0690.1070.0940.0360.0620.0090.0000.0690.0810.0670.0740.1040.0700.0810.0690.0820.0870.0910.0890.0910.0520.0460.0670.0970.0810.0420.0760.0600.0580.0320.0110.1250.0720.0300.0870.0830.1060.0660.0550.0720.0050.0370.0780.1300.0710.0650.0510.1050.0990.0720.0630.0820.0890.0630.0940.1240.0840.1670.1150.0920.0980.0840.0610.1010.0850.1060.0450.0830.0520.0780.0800.1020.0860.0740.1060.0770.0260.0810.0820.0940.1000.0860.0920.1200.0680.1500.3280.1810.0480.1130.0880.1290.0860.0470.1090.0830.0720.0700.0790.1240.1150.1020.0560.0690.1100.1410.1410.1110.1130.0860.0690.0420.0600.0770.0810.0920.0640.0000.0570.0000.0510.0120.0650.0460.0550.0890.1350.1230.1980.2081.0000.1160.3040.0870.0300.0620.0250.183
Symptom_SkinAllergy_brittle_nail0.0080.1150.1040.1370.0430.0940.0900.0880.0850.0820.1170.0830.0570.1270.1060.1300.1220.1240.1060.1270.0340.0430.1070.1260.1170.0630.0830.0840.1080.1000.0040.0980.0660.0730.1020.1100.0970.1130.0870.0640.1140.1320.0990.1140.0960.0940.1080.1080.1010.0890.0550.1050.0700.0830.1200.1350.1090.0330.1770.1440.1070.1270.1460.1460.1190.0800.0910.0610.0910.0690.1500.0680.0920.0770.1290.0890.0870.0740.0740.1350.0800.1130.1610.0750.0670.1320.1520.1130.0920.1030.1200.0900.1140.0580.0990.0610.0640.0580.1160.0740.0770.1110.0890.0530.1400.1180.1880.0780.1410.1650.1930.1680.1570.0850.1600.0640.1570.0790.1500.1610.0400.1750.1410.1250.1140.1330.1420.1310.1260.1270.0840.1790.1680.1560.1670.1710.1230.0990.0810.0600.1080.1160.1420.0900.0450.0720.0000.1200.0260.1010.0030.0520.1280.1500.1280.2000.2030.1161.0000.0710.0850.0570.0590.0000.102
Symptom_SkinAllergy_new_allergies0.0000.0790.0840.0940.0000.0560.0740.0760.0450.0590.0800.0600.0150.1020.0950.1040.1050.0740.0530.1000.0430.0080.0710.0820.0720.0120.0410.0640.0730.0730.0390.0530.0000.0000.0400.0640.0490.0680.1070.0790.0910.0980.0840.0810.1030.0650.0860.0490.0390.0870.0480.0790.0620.0670.0720.0690.0510.0180.1290.1000.0820.1120.0940.1060.0530.0710.0660.0290.0290.0570.1460.0880.0730.0190.1110.1080.0660.0730.0490.1400.0750.0890.1110.0580.3340.1190.1060.1320.0860.0860.0970.0930.1150.0100.0310.0580.0410.0460.0780.0500.0740.0390.0720.0170.0850.1170.1260.1300.1140.0960.1300.0790.1460.7840.1570.0230.1120.0620.0840.0980.0710.1270.0960.0950.0950.1110.1470.1130.1160.0970.0810.1080.1270.1150.1090.1050.1060.0700.0630.0860.0840.0750.0760.0670.0280.1010.0310.0790.0190.1150.0680.0740.0950.1540.1140.1510.1460.3040.0711.0000.1010.0150.0600.0120.225
Symptom_SkinAllergy_other_itchy0.0000.0560.0130.0410.0440.0220.0290.0000.0000.0260.0190.0300.0810.0680.0490.0700.0480.0760.0340.0740.0290.0270.0500.0700.0590.0390.0320.0750.0390.0380.0690.0340.0000.0000.0330.0240.0330.0370.0480.0340.0410.0640.0390.0420.0270.0370.0290.0300.0310.0340.0460.0360.0290.0320.0520.0680.0410.0470.0880.0750.0390.0710.0660.0720.0450.0400.0310.0190.0050.0050.0750.0620.0350.0000.0620.0670.0130.0250.0290.0610.0480.0610.0720.0270.0680.0760.0550.0510.0470.0480.0720.0270.0700.0130.0420.0100.0180.0000.0660.0550.0190.0290.0330.0670.0810.0500.0700.0380.1090.0910.0800.0640.1030.0830.1640.0980.0700.0510.0620.0540.0480.0670.0470.0380.0550.0660.0680.0600.0710.0730.1060.0740.0680.0470.0550.0660.0750.0360.0500.0420.0820.0600.0470.0970.0640.0190.0000.0510.0000.1170.0590.0000.0500.0800.0670.1270.1150.0870.0850.1011.0000.0000.0000.0130.078
Symptom_SkinAllergy_shingles0.0000.0390.0260.0570.0180.0160.0000.0000.0420.0000.0580.0000.0180.0540.0600.0470.0490.0530.0440.0620.0480.0000.0350.0350.0290.0290.0270.0370.0170.0470.0340.0290.0140.0000.0310.0520.0200.0520.0470.0580.0500.0540.0410.0390.0240.0020.0240.0440.0160.0220.0250.0280.0120.0280.0590.0660.0460.0240.0520.0450.0510.0550.0490.0650.0330.0420.0570.0240.0680.0290.0260.0000.0380.0270.0550.0410.0530.0000.0370.0720.0310.0460.0930.0380.0330.0330.0540.0520.0310.0240.0430.0000.0340.0200.0110.0270.0000.0380.0140.0330.0450.0320.0310.0090.0610.0550.0640.0500.0360.0490.0730.0230.0090.0030.0890.0880.0620.0390.0390.0560.0300.0510.0330.0350.0260.0350.0780.0620.0570.0460.0850.0390.0570.0370.0440.0500.0100.0450.0460.0350.0190.0420.0530.0530.0170.0240.0170.0270.0400.0350.0240.0220.0240.0330.0490.0670.0430.0300.0570.0150.0001.0000.0130.0000.040
Symptom_PEM0.0000.1410.0510.0940.0320.2090.2010.1840.1310.0480.0850.2150.0320.1750.1350.1370.1370.1260.0640.1250.0470.0300.0920.1120.1230.0920.0860.1060.1730.0910.0520.0590.0240.0100.0000.0280.0000.0090.0420.0310.1280.1180.1500.1320.1340.1050.0910.0880.0430.0450.1350.0880.0750.1180.0490.0450.0470.0240.1080.1090.0630.1150.1330.0840.1320.0560.0420.0430.0390.1000.1250.1010.1300.1030.0780.1280.1760.0850.1640.0730.0780.1850.1140.1860.0380.0950.0980.0740.0810.0660.1260.1060.0960.0960.0250.0340.2130.1800.0490.0390.1470.0800.1000.0080.0180.1190.1190.0670.0770.0590.0750.0600.0500.0480.0650.0120.1190.1910.1440.1120.0230.1130.1020.0740.0620.1140.1570.0910.0700.0360.0440.1230.1510.0890.0850.0790.0490.0390.0170.0410.0740.0530.0690.0690.0070.0660.0140.0540.0150.0710.0270.0530.0770.1210.0600.0790.0890.0620.0590.0600.0000.0131.0000.1970.073
Symptom_Fatigue0.0170.0890.0230.0370.0270.1660.1360.1250.0880.0440.0350.1750.0120.0890.0760.0670.0650.0640.0210.0490.0120.0000.0760.0750.0580.0500.0640.0380.0670.0540.0160.0190.0180.0260.0130.0250.0000.0230.0090.0180.0340.0210.1020.0760.0490.0540.0490.0550.0140.0070.0790.0580.0390.0720.0160.0000.0120.0000.0410.0450.0220.0430.0450.0310.0920.0000.0190.0000.0000.0650.0530.0530.0880.0560.0320.0830.0720.0280.0770.0000.0340.1260.0600.0760.0000.0530.0490.0390.0540.0300.0790.0550.0390.0900.0380.0000.1100.0840.0570.0480.0400.0290.0710.0000.0000.0390.0610.0180.0400.0290.0280.0230.0200.0070.0290.0160.0350.1410.1030.0540.0000.0290.0370.0420.0240.0640.0620.0450.0260.0000.0200.0730.0580.0530.0280.0320.0290.0220.0000.0220.0110.0000.0250.0260.0000.0260.0000.0330.0050.0320.0000.0190.0410.0600.0330.0560.0530.0250.0000.0120.0130.0000.1971.0000.000
Symptom_Change_sensitivity_to_meds0.0000.1050.0900.1080.0510.0640.1000.1070.0720.0440.0830.0820.0500.1220.1240.1110.1120.1010.0820.0970.0580.0490.0890.1090.1000.0650.0550.0860.0940.1110.0420.0860.0100.0000.0640.0670.0650.0610.0840.0690.1420.1460.1220.1120.1030.0700.0780.0760.0350.0970.0790.0840.0760.0890.0960.0830.0740.0360.1350.1220.0940.1430.1200.1170.1210.0940.0750.0790.0500.0760.1510.1180.0950.0500.1230.1230.1240.0930.1120.1190.0790.1300.1480.0870.1830.1200.1010.1430.0820.0660.1180.0900.0990.0370.0590.0540.0480.0770.0710.0680.1000.0670.0870.0230.0910.1320.1480.1000.1030.0860.1070.0550.1080.2320.1280.0490.1330.0610.0990.1090.0830.1250.1050.0870.0920.1260.1450.1160.1200.0730.0940.1210.1520.1140.1140.1090.0980.0740.0220.0850.1100.0680.1030.0860.0320.0800.0360.1000.0200.1150.0360.0850.1100.1440.1250.1320.1170.1830.1020.2250.0780.0400.0730.0001.000

Missing values

2023-09-11T11:00:00.814294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-11T11:00:01.283681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_New_allergiesSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Inability_to_yawnSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_DepersonalizationSymptom_DerealizationSymptom_Extreme_thirstSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_new_allergiesSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_meds
01.00.00.00.00.01.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.01.00.01.00.01.00.00.00.00.0000000000000.01.00.01.00.00.01.001000100000000001000010010100000000001000100000000000000000000000000000000000000000100110
11.01.01.01.00.01.01.01.01.00.00.01.00.01.01.00.01.01.00.00.00.00.00.01.00.01.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.00.00.00.00.00.00.00.01.01.01.00.00.00.00.0000010100000.00.01.01.00.00.01.000000101010000010100110010100100000000000110000000000000100000000011000000000000001000110
21.00.00.00.00.01.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.01.00.00.01.00.00.00.01.00.01.01.00.00.00.0000110000000.00.00.00.00.00.00.011100000000000000100000000100000001100001110001000000001000000000110000000001000000000110
31.00.00.01.00.00.01.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.01.00.00.01.00.01.01.01.01.01.00.00.00.01.00.01.01.00.01.01.00.00.00.01.01.00.00.00.00.00.01.0100011000001.01.00.01.01.00.01.010100111000110111100110011100100000000001100011000000000000000000000000000101100000000110
41.00.00.00.00.00.00.00.01.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.01.00.00.00.01.00.00.01.00.00.00.00.00.00.00.0100111110000.01.01.01.00.00.01.010110101000010110100111011100101000000010110000011001000010000011100000000101001100000110
51.01.00.00.00.01.00.01.00.00.00.01.00.00.00.00.01.00.00.00.00.00.00.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.00.01.00.01.00.00.00.01.00.01.00.00.00.00.00.0110011000000.00.00.00.00.00.01.010100101000010010000110000000000000000001100001000000000010000011001000000000110000000110
61.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.01.01.01.01.00.01.00.00.00.00.00.01.01.01.00.00.01.00.01.01.01.01.00.00.00.00.00.00.0111110110000.00.01.01.01.00.01.011000111000000111100110010110100100000011110000000000000010000000000000001100000000000111
71.00.00.00.00.01.01.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.01.00.00.01.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.00.01.01.00.01.00.00.00.00.0110110100100.01.00.00.00.00.01.011100011000000110100110000100000000000000110000000010011010000000000000000001001000000110
81.01.00.00.00.01.01.01.01.00.00.00.00.01.01.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.00.00.00.00.01.00.00.00.01.00.00.00.01.01.00.00.00.00.00.00.0001000100000.00.00.00.00.00.00.010100101000100000100101000100000001001000100010000000000000000000000000000000000000100110
91.00.00.00.00.00.01.00.00.00.00.00.01.01.00.00.00.00.01.00.00.00.01.01.00.00.00.01.01.00.01.00.00.00.01.00.01.00.00.00.00.01.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0100000000000.00.01.00.00.00.01.010100101000000011100110010100010000001101111011000100001000000010001000000000001100100110
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Duplicate rows

Most frequently occurring

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